{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "6Ocm6A50JLtO"
   },
   "source": [
    "# Dataloaders using Medicaltorch\n",
    "\n",
    "In this notebook we are going to explore a medical imaging open-source library known as [MedicalTorch](https://github.com/perone/medicaltorch), which was built on top of PyTorch. \n",
    "\n",
    "The purpose of this tutorial is how to create a DataLoader using medicaltorch for medical dataset containing data in NIFTI format. For the purpose of this we will be using the Cardiac MRI dataset.\n",
    "\n",
    "The Dataset is available as a part of pastly held [MedicalDecathlon](http://medicaldecathlon.com) and can be downloaded from [here](https://goo.gl/QzVZcm)\n",
    "\n",
    "\n",
    "This tutorial assumes you have installed the medicaltorch library. If you haven't please take a look at [this](https://colab.research.google.com/drive/1V516_8lzebSPw_ygZhJQLfbGedMDikPc#scrollTo=bh8sG3huKAK_) notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "qy4iVLD2K0QO"
   },
   "source": [
    "## Importing Libraries and Let's Get Started!\n",
    "Let's import the necessary libraries includinf the utility functions from the `medicaltorch` library."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "yD3mbIc8tzed"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\mohit\\Anaconda3\\lib\\site-packages\\h5py\\__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import os\n",
    "\n",
    "from medicaltorch import datasets as mt_datasets\n",
    "from medicaltorch import transforms as mt_transforms\n",
    "\n",
    "import torch\n",
    "from torchvision import transforms\n",
    "from torch.utils.data import DataLoader\n",
    "from torch import autograd, optim\n",
    "import torch.backends.cudnn as cudnn\n",
    "import torch.nn as nn\n",
    "\n",
    "import torchvision.utils as vutils\n",
    "\n",
    "cudnn.benchmark = True\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "1z836WKgLCXC"
   },
   "source": [
    "### Data Exploration\n",
    "Before we do any modeling stuff, let's investigate our data first. Let's look at one sample (MRI image) from the dataset. \n",
    "\n",
    "We will see the preprocessing module `mt_datasets.SegmentationPair2D` which is used to read and format the data in a way that we can better explore it in our environment. See the example below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "bGxyNTVItVYK"
   },
   "outputs": [],
   "source": [
    "ROOT_DIR = \"../Datasets/Task02_Heart/\"\n",
    "mri_input_filename = os.path.join(ROOT_DIR,'imagesTr',\n",
    "                                          'la_004.nii.gz')\n",
    "mri_gt_filename = \"../Datasets/Task02_Heart/labelsTr/la_004.nii.gz\"\n",
    "\n",
    "pair = mt_datasets.SegmentationPair2D(mri_input_filename, mri_gt_filename)\n",
    "slice_pair = pair.get_pair_slice(55)\n",
    "input_slice = slice_pair[\"input\"]\n",
    "gt_slice = slice_pair[\"gt\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "40n8eVQkwlCG"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(320, 320)\n"
     ]
    }
   ],
   "source": [
    "print(input_slice.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "U5zCh2ueML0D"
   },
   "source": [
    "As you can see above, images are 320 X 320 dimensions. We can also view the image in our environment using matplotlib."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "BF7Teg-EtuEm"
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = input_slice\n",
    "plt.imshow(img,cmap = 'gray')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "JTMQ2HN4y-p7"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = gt_slice\n",
    "plt.imshow(img,cmap = 'gray')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "e-pnIwP2MXtC"
   },
   "source": [
    "The SegmentationPair2D class gives us a easy-to use wrapper for Analyzing the NIFTI images and thier corresponding segmentation mask.\n",
    "\n",
    "The 2 most frequently used methods are\n",
    "\n",
    "`get_pair_slice` - This method is used to fetch a particular slice from the NIFT image. We can also pass the desired axis (Axial,coronal,Sagittal) to view the image\n",
    "\n",
    "`get_pair_data`- This method is used to fetch the entire image/pixel data and gives us a tuple containing image and mask data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "img_data,seg_data = pair.get_pair_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(320, 320, 110)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(320, 320, 110)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seg_data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see we got the entire image and label tensor by using the `get_pair_data` method"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "IUFHeSBwzgZ7"
   },
   "source": [
    "## Creating a Dataset for 2D segmentation (slice-wise)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we will see how we can create a Dataset using the NIFTI images. \n",
    "\n",
    "`medicaltorch`  library has a built in generic Dataset called `MRI2DSegmentationDataset` for this purpose.\n",
    "This dataset takes a tuple of input images and thier labels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "img_list = os.listdir(os.path.join(ROOT_DIR,'imagesTr'))\n",
    "label_list = os.listdir(os.path.join(ROOT_DIR,'labelsTr'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename_pairs = [(os.path.join(ROOT_DIR,'imagesTr',x),os.path.join(ROOT_DIR,'labelsTr',y)) for x,y in zip(img_list,label_list)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('../Datasets/Task02_Heart/imagesTr\\\\la_003.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_003.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_004.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_004.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_005.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_005.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_007.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_007.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_009.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_009.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_010.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_010.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_011.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_011.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_014.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_014.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_016.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_016.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_017.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_017.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_018.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_018.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_019.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_019.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_020.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_020.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_021.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_021.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_022.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_022.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_023.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_023.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_024.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_024.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_026.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_026.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_029.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_029.nii.gz'),\n",
       " ('../Datasets/Task02_Heart/imagesTr\\\\la_030.nii.gz',\n",
       "  '../Datasets/Task02_Heart/labelsTr\\\\la_030.nii.gz')]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filename_pairs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Qaufm7yizjca"
   },
   "outputs": [],
   "source": [
    "# load data\n",
    "train_dataset = mt_datasets.MRI2DSegmentationDataset(filename_pairs,transform=mt_transforms.ToTensor())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "medicaltorch.datasets.MRI2DSegmentationDataset"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(train_dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "-c1ZteF4zlPh"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2271\n"
     ]
    }
   ],
   "source": [
    "print(len(train_dataset))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "F7aY-hczOxuN"
   },
   "source": [
    "We can check the invidiaul elements of the train_dataset by following"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Q89Awl_9z3yl"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'input': tensor([[[   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "          [   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "          [   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "          ...,\n",
       "          [   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "          [   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "          [   0.,    0.,    0.,  ...,    0.,    0.,    0.]]]),\n",
       " 'gt': tensor([[[ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "          [ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "          [ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "          ...,\n",
       "          [ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "          [ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "          [ 0.,  0.,  0.,  ...,  0.,  0.,  0.]]]),\n",
       " 'input_metadata': <medicaltorch.datasets.SampleMetadata at 0x28d4a4142e8>,\n",
       " 'gt_metadata': <medicaltorch.datasets.SampleMetadata at 0x28d4a414630>}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sample of the training dataset\n",
    "train_dataset[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "-ySWB4PpPGFE"
   },
   "source": [
    "The next step is to create a PyTorch Dataloader over this Dataset and let PyTorch do its magic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "8qeVpO6kz5s1"
   },
   "outputs": [],
   "source": [
    "# PyTorch data loader\n",
    "dataloader = DataLoader(train_dataset, batch_size=2,collate_fn=mt_datasets.mt_collate)\n",
    "batch = next(iter(dataloader))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'input': tensor([[[[   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "           [   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "           [   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "           ...,\n",
       "           [   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "           [   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "           [   0.,    0.,    0.,  ...,    0.,    0.,    0.]]],\n",
       " \n",
       " \n",
       "         [[[   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "           [   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "           [   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "           ...,\n",
       "           [   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "           [   0.,    0.,    0.,  ...,    0.,    0.,    0.],\n",
       "           [   0.,    0.,    0.,  ...,    0.,    0.,    0.]]]]),\n",
       " 'gt': tensor([[[[ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "           [ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "           [ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "           ...,\n",
       "           [ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "           [ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "           [ 0.,  0.,  0.,  ...,  0.,  0.,  0.]]],\n",
       " \n",
       " \n",
       "         [[[ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "           [ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "           [ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "           ...,\n",
       "           [ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "           [ 0.,  0.,  0.,  ...,  0.,  0.,  0.],\n",
       "           [ 0.,  0.,  0.,  ...,  0.,  0.,  0.]]]]),\n",
       " 'input_metadata': [<medicaltorch.datasets.SampleMetadata at 0x28d4a427550>,\n",
       "  <medicaltorch.datasets.SampleMetadata at 0x28d4a427710>],\n",
       " 'gt_metadata': [<medicaltorch.datasets.SampleMetadata at 0x28d4a427518>,\n",
       "  <medicaltorch.datasets.SampleMetadata at 0x28d4a427630>]}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "batch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The minibatch is basically a dictionary with the relevant image and segment data as well as metadata. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "1-IZvi2qz7jG"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([2, 1, 320, 320])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check minibatch size\n",
    "batch['input'].size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([2, 1, 320, 320])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "batch['gt'].size()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "fy9R5Ju2Pl3B"
   },
   "source": [
    "Lets visualize the batches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "8O0TyYdmz97G"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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EnnSZc4/H4yYvxoB5kZGPkT26YTFgeIDp3GcYhhoOh5pMJgafQQSgIK8l8EQnXpmyZTxnGIbKZrMR4lKKajPW1tYix/VkJ8bYcwR4YpAXxzs/P5ckE2GlUik7ZjabtQrIZDKpbrcbeef9fl9BECiXy5lH97wN84RnWi6XDY2ApHjGnNO/zyAIImgHY871YHx9poXns2jsFlHFczQUP5tIIZVKKZfLaTKZRIRGi/lszx1IshLj2Wxm6UkWP38zuZjYvmSX4bMDizwGC0W6ygosFvj0ej37rp+8i2ENkxyuQooWV/FdpM8e0npDybm4Hios/XPznIznTDBaIB7CnfPz84hICqjN+cbjsQaDgRGqLBhPfLLgfTbCZ0Xop3BxcWE8xsrKSkSp6I0oNSa+upLnNZlM1O12DXnA13CvhGMgqvPz80gNiCd9fejhr90TmHz2aYv/pyFb8ZFCCrDQeG/PBPNSgPt4Rl4Uk4gXymQOgsAIPLwOxoMJzELCW4A+PIT08S6TZzabKZ/PazKZaDQaWYYglUqpUChEehvMZrOI4QrD0OJijgXPwcQMw9A8IEKm4XCoeDxux/Iai1gspm63a4uF+/fcA6GIf4aQop1OJ2J0PPkH3CeU4n2gTsTogQ7gP6bTqS1kQpLZbKZCoSDpEt43Gg0lEgkVCgUzwoRY/X7frpNzgrB86JjL5YznyWQy9q55zplMRplMRvF4XI1GQ/1+X4PBIIIcfe8K+B2emydYpfc35vHr0GeOnvH42UMKeCTfVUhSJNUIPCdckKINOyCx/Hc8A+/FP/wbI+D/79WMnhfw4QReSbrqG8DE85MFzgACj7AHKMok4nwgED7LfafTaRP8YAQ5JlJp350Ir5vL5QwuB0FgHtqn6Ij1PVohTAvDy3RlOp1WsViMVDWy+OA/CCeSyaRlLzxBCsIoFApmbFnsPgTwc2A0GtnCxdgxD+CHPHGJEaWb03A41HA4VKFQMIMBWplMJmq32xHy0CMtr30AjfG3zz55hOAJzf8QTvsjhRSy2azy+bx5Uy8RZoLz8nwmwfMAeEC8F5MdRV0sFrNSXhYgi4OXyUTw8mHvCf25JZkh8nH++fm5LTKqFHlX+XxekixuxUgw2RZrITCCkgzdeMKVhTUejw054JF9URXwutvtGqk4n8+Vz+fN4CQSCZVKJbtHFlI+n7f759ikLQeDgS0sUEA+n9fx8bGm06leeuklQ0VkInK5nLrdriG24XCoXC5nz+b09DRCwGKQB4OBLi4uLPPjjah/Zz7UGg6HhhZBDOgj4Bw8ignDUO12O2IU4YwgriGTvaSe+bloVH2Y+yHHzxZSWFlZMXjsNfMeOi++bB/jSVdMPt4Ow+BFKtJVDAkkxfPwe5/J8JyCT53xwvEWTAImh08ZQurhxRY1EF4i7dOtPANv5LguJj+e2f+fcxJ+eaKMWBpD6rM6hUJB2WxWKysrhkQgYxESdTodTSYTVSoVywZA9LGYMI6+MAu9gRcY+RoQz8cQPnpyEcPGcxoOh5Hn4pGWDysWU7MYT94Z98b9M7gGrp3nxXzyHNHinGH+cn3P0Ch8oPGRMQrT6VSFQiECYUejkXnmYrEYgdm8BD/xgaVe24C3WTQKGBgWDwtEksWQLH4vu/UdlCSpUCgoDEN1Oh2bIHgkrxHgmpkgPr2HUfL1G9JlXA6UjsfjlunwCxoo3G63jUjjfIuKRAa6CxBBJpMxbsFrGHzDFwi6dDqtSqVi/A/IAF6iXC5rOByq3W4rm81qdXXVUq0gAq8fgPD0vAGoievmjyQjFIvFovE4uVwugqQGg4HG47FyuZzi8bja7bZxIcwXMiHdbteQAw4JRBOGl2XelUpF1WrV+Id0Om08FO8YchYeRboqYvPP/icxPhJGIZ1O24Rm0sMtEL/6GBxrf3FxYcU7WHHPFUjR+njPoPM5zzxLV9JdvI9HCz6W9GEFuXy+j6dc7GLsz+O/jzcBAeBhPRzFoODZFiXa0pUX5TuZTMa8Ip4Qw0lYwESGs2CCczzCCH6fTqcjLL+XboMY5vO5Wq2WksmkVlZWjNjE4Hgjzn1j3NCDeKPAc/LaAukyDU0xFe8lmUwqn88rl8tpbW3Nni9zAqKYc3rS0iMTEI5Pq0oyQypJuVwu4pR45xhmkNRPenwkOAWfBwfK+f4BPk3I5zEQXgPvhTqeJPSpLQ+lpat+DXyHBc3kA9p6+Mr5gMB8x3sOz6R7sc5iGCDJYCpNWiHkSJ15YRQGhIVA+k2SsemehOU55nI5FQoFjcdj9Xo9y8d7bgL9gvemXI+/b4wg8bkP9aRLrgRvzaIdjUYmNOr3+2YMut2ums2mCct4L51OR4lEQvV63Ty055OQSoNyuDaMoTdAOBaMKXwBxKv09JQzBCvvyDsIRGbIuT3ncnp6anOYMATj8iHHzw6nQNbBV+4lk8lIebIkW5x4PhavRwAe7i7qEPxC9ymuRe07C8CLiXwbNOmqShPIzYLH+1Bw5bkCrz0IguB9x8zn88Y7DAYD9Xo9DQaDyDVkMpmIgImsh0crPmwhDPNSZQys10RgfKUo58J78IjLozkfxnEfiUTCpN/c33x+2cHZG1rP5hMisNCI43mHXCsGCOToUQWhkBePcX1kQEBv/A6Dy/09zShwXUEQ6OzszBAKnwuCwMIpMi6TyUS5XE6pVEqdTkeZTEbNZvOZrJcfNj4SRsHvJCRdxb94LIYnF31qkMGE4eUC4Tzp5+Gw5wlYYD5EyeVydl4vH/aeGlENKIV/S1dZkVQqpXQ6bQo6n3JkYrNIfCqM8+Ohgie6AKTaQPp4PG7af7IewFieLZ4NQ8GzXKwReRprjoHzvIs3IP4Z83vuxcNn9Aq8Q54x18/i457n87keP36sbDZrKUxJZgAJ/3AI8BTe8HM8fs/ChaOBPCX74NPc3mlgCMlUlEolM1pkTXju4/FY7XZbhULBDN4zQgofaLzw4YP3nBBqPgaXrsQg0tVCY6H46kRPwgGNpavWYEDpRaJSksWDPsTwCESSQVOOSejAgvaxK+k6byC8PJvJmE6ntb29rSAIdHBwoMlkYnE4RgZmnnP2+31L7UHwseDa7bbpB/y1co948fn8qj0a6ITKQ58SXVRZoib1PAg/80SwJxd5zs1mM4JsVlZWVCwW1e121e/3rUzaKxUPDg40n8+1trYWSQVzTwi+SHmygCF7Sav6TI3nIaSr2pHT01O7FtADHASEL3OiVquZfqJer9v7R/swnU7VaDQsXS1J9+7d+3GXCeNnI3zwaUMpupsPMN6ngfCyT4uzvUiJF+lFRh76L6aSmPSesPTX5BVtXB+TmN/5NBXXTJzK5zxUzuVyqtVqun37thXzSJfkFhOTczCpU6mUeR0Wow+FYrGYSYc99PUsuG/86lOWQHWMLPeIwfQ/57nw7Hgnvh2d1w14L05qkmPz3CFYF2N1fz6uwatPfdbIh1qgJNLZs9llnwieKZ7cGw0MOcaGZ+m/h2ALGT5IwDsknr3vcfmTGi80UqjX6xZnMulQxkmKoAYW2SJ34BfqopJQutrQlDDBXbMZBBa1RxJe/uy9i1+cjUbDMibdblex2GWJr3TVXcijCxYFaciNjQ1lMhkdHx8bMdftdnV4eGjKO8qaIeeYfOVy2TwQ90qczQJkkeRyuUh1IkQkzxRizmdXKHGuVCpmaBazBBhWT8axqMkieMNACEJtC6lIDDwZC47tuRieZTqdVqfTkXSZDkYTwM+4V+aCR4CgL+ZDvV639GOxWLSU+Gw20/7+vtrtthqNhhGnjUZD+XzeQrjpdKp2u23PbzgcajQamUH3PSdXVlb09ttv/zjLxI+PPlJg8vhafaCpVzPiuT3RJF018uR30lVuncnkRSteRk06TYoiBz8pmVjeG1HXwORHTkvIsNhb0Xsu7zEl6ezsTOPxWEdHR+YFe72eHQPPOR6PTSOQz+dtgeKlfI2Iz+AgDe73++a9PLHmuQNSalKUmyEcGgwGpgngO9IVWuAZeK7HIz3CDK85AN6TBQD1SZcIhfSfN/SezCP8YfhMlHeWvmcG4YufI3ADENm5XE4bGxuSpGazaQYAZAEa8gYfToZ7wECCYHd2dlStVvXFL37xQ62ZDzJeaKMAUeZhGVZ8ES0wIfyGrLxoPg9i8GQfaACDg8fwn1nMcgDFPcQmzq5UKsrn8+r3+5rNLsuD+XkYhpEYFChJKW61WrU0niepEPycnZ2pUCgYYTidTnV6emqogecFe47MVooKZVgQnmRDAZhMJlUqleyzGN7BYGCG0deMnJ6eRjw/YjK8NilJjDpGBERSLBbt+TUaDQ2HQxWLReM1PPLzTmAymej+/fu2GPHijUbDjIwPDVmcHln60AQ9CdWZnuwFSZydnSkej6tUKml1ddVQR6fT0cOHD+0ZFItFCysKhYKh3dnssqtUOp2ONIU5OjrSt7/9bSOan/d4oY0CHYiYjBBQ3lNJV6k3DMSi7sD/f5GP8OSUT2V5dIBn8xkQQhkEOz7/jdebzWYqlUr2/cXjEvuyOL3nSCaTKpfLisVi5tELhYImk4mOjo7su/P5ZcfmXC5noZX34j7r4VEXIY6X/J6fn5unXww5MBKEHDw3HzZ5LgJE5isvPZfCMX2/Cgwhz9mHD1wPkD+bzarb7dp8YOHxjsMwjBCm1Mwwj4LgsvCL68ZAIIjjXBhyngkogGzTzs6OcrmcTk5OjBwuFAra3NxUp9OJ6GPgb0B6zAPCip+UwvGF5hS2t7etNNYvFrytJ/8Wc/qkAr2OXbqK26XoFmhMSj7j8+OeZCLt59lqnwrEQPlUKR4nm82qWCwaPyDJuiXhjfGgPjRhAgGXERg1m027Dq/QRAjEooL4Yvh2b75BKgu1VqtFJmYmk1GpVNJgMNBgMDC4LUk3b95UIpGwtmi8K5ALqAKeYjq9LF8ejUZaX183gRKLczQambKSMnCQk3Ql9CKOb7fbEYUnKViMXbVa1WQyUbFYVLVaNYTFe4FcLJfLZrgW5eI4mo2NDcso8K5BgBi2f/kv/6VOT09148YNIxt5hhhHkF+z2VSr1dJgMFAikVCv11OxWPwweoWPNqewvb0dySbgOfz//UT3eW8PCfmZ99I+3peiW6P5UIMJwXGYCHirYrFoyMH3PuBaEomEyuWyiWLi8bgqlUqkQcx0OjWP0uv17Oez2UztdlvSVe3+6uqq1f4/fvzYYvnJZKJ+v29eyBs3nofnUAhfPMyez+fm8X09Byjr4uLCFJHSVbh1fn5umgfei+ddOJdHG/5dTCYTezboADge6MZzGdwP1wKy8a3yEGTBT4A++JtsA8iL4RWanpMBwTC4Dv6NiCmdTuvWrVv2XLhHL3LztSOEMBhtwuPnPX4oUgiC4B9I+tOSTsIwfOPJz6qS/qmkm5J2Jf35MAxbweUK+N8l/aeSziX952EYfuOHXsSPgRQ2NzftYdK5lwmJqsyTUr4/Igubl0scKkVlyIvpTjgI3ygE655KpUwzD2LwRU183qfV8vm8rl27ZuInYmyGh7MIdLiP8/NznZ2dqd/va39/3xZbuVxWp9PR22+/rU6nY4U7PvvCwsBweTRQLBZtcVKxiGEjrEDdiDEjpkaWW6lULIUL2mLSl8tlK6UG0YRhaJOdoqJcLmcdlWq1mmKxmO7fv6/xeKyNjY1I/wbuHf2FJPOu2Ww2wgHgsf29gW7S6bSFOyDPVCoV6QFBaDEej1UulzWdTq0xzebmphkkPD4ZDsJFuJkvfOEL2t3dNSMISvSZiWazacdrtVra2dlRIpHQ/fv3f9TlwnhmSOEfSvp7kv6R+9lvSfr9MAz/bhAEv/Xk/39T0n8i6c6TP78k6e8/+fuZjyAIVCqVTADEQsEyU/DEQsBy+/DApyI9p+AJNCY7C1u6UuH5dBmpMoqD/Pcg0CRFQggfAniU4fP5XrUHVPbGDHUiUPn8/FwHBwemnyc1yvAp09lspkqlEvFUlUpFqVRK/X7fSFDOh7HzJC25fO7Vw3M8LgYJ48DiWJRV8292e+I9kO3xWQQMuc98sMAymYxWV1cVj8etTsM3T+H9UGTlDTFIkXv2KJA2crS+B21I0S3tCAXQUUiXXcE86U3vDy8qwxgRFhEh6fovAAAgAElEQVQKk570xO/zHB+IUwiC4Kakf+WQwj1JvxpebTf/hTAM7wZB8H88+fc/WfzcDzn+j4QUqtWqSqWS1tbW1O/3dXR0FGHyiVdppPHkHBFjwKL2zLJ0la3gcwicvDLPe328ER6QicTAk6Jj39jYsJJmzokIicXgDQLenwmPl/KE2fn5uRqNhnZ3d3VxcaFWq2VG8ezszDol4d14VuVy2foWcB2QjX4vBBY0oU2j0VA6nVa5XFYul1Or1dJoNNLm5qbFzxyjUqkYNE8mk6b5Z7HwXKSrBjA8w3w+r+FwqE6nY63cZ7OrUmuIOzy4R20cCy/OPIBLofcCRqBUKqlYLOro6Eij0UiZTMZUkNevX1c6nVa32zU5eK1WUzKZ1OnpaaSM3Dea6Xa7kcI2HxpKlyrSt956S61WS6enp9aZSrraR6Tf7+vBgwdKpVK6ceOGxuOx+v2+zs7OfpQlw3iunMI6C/2JYVh78vNtSY/c5/af/OyPNQo/6sBrnJycqNVqmST49PRU0lW5LH33vD6BCeSFNz7DsJin9p4S5OA9HkbIZxmIhUEqSFXx0CxYFv9gMIiQV5Ii1+XjVuJQn04tl8umnoMIo0oSA8K9SIp4fboFgboajUakyYfXLVBZiICHn9NJmtCGd0RPRhh26UrT0O/3zViCqghzQEoIuSDuPLeBUeDzdI2CryBFijJxseALTYCXdeOJOU+327W55h1IEFz27azVakbGerUkjqRUKpnGg/eRz+eN8CRcAXXwXY6HoymVShaCxGIxE1o9r/Gs8cjTWtE+FQUEQfBZSZ/9cU6ysrJiC6hQKJgGACjva9JhrX0mwZNAeAzksMSk9FkgfgZeL0JYynkxDsSoxIGFQsEgOd6O74JKRqORXUcmkzEUQ7kv5Fo+n7e4nVgWmBmLxbS2tmZEZC6XswVer9etYhL0tLKyEum16Heb4nlhBIDi+/v7ZkCYwL5BLs+o1WpZvp7JzeL3qr1Y7LJ/gofiPlXabDYjzVExZvArLGaQSa/XU7/ft/tPJpNqt9uWGuXd+ZRvLpczg8gmMkD9x48fK5lMqtlsKpFIWBYkk8mo1+spnU6rXq9LutovgwFXcnZ2ZiTqYDCIvNPJZKJarWYGEwNFF7GDgwMziJJ+YmHEj3v04yAINl34cPLk5/uSrrnP7Ug6fNoBwjD8nKTPST96+MCCJfVI7hdGH5hPPOY9v5+8PsbzCMDnvD2k9fzAdDq1yY53gqQcDoe27wDegCwDC9gz3px3MpnY9XvPg7fmvryBk66qQZk8+XzevCQqwFKpZHCUcy0SakxOFronZ0EUfC8Wi1mlJfcPPMYLw7X4cmP+74utMM4+dOC9kk6Mx+OGiOjnyPv2BCJG13dj9vJwnkev17P0LnwUQieeS6FQsHANWTX6Cp7TdDpVvV5XNpu19DEh1Hg8tm7dfkMg/z4JR5hHDH/vGGAvGisWi+ZInvX4cY3C5yX9VUl/98nf/8L9/G8EQfDbuiQYOz+MT/hxBnEpEBGtui+a8QQbi5xJD6fAAmahL5J/i1AYwyBdVf/xsj2K8BOsWCxaaSwLhe/7cIRFyPVBZgFXgdj83nMX3kAwoVHOeZRQKBRMHQnioMU6CyCRSJjh8Dsv8Zy4LuJnSYaQhsOhBoOBwXtIOvgd0nYIuUBYXB+wGw7H92jkvPAEqVTKNABPe0b+e15RynF4f9LVxjPxeNxKrHl+qDBRljKPMCYXFxfGR4B+QDZoOjBq6XRah4eXPpL51+l01O12jaSGzCRTQ1aF+57NZsrlcpa5eR7jhxqFIAj+iaRflVQPgmBf0t/WpTH4Z0EQ/DVJe5L+3JOP/44u05H3dZmS/C+ewzVHcrzFYlGrq6saj8dqtVqWgfD7KnqREl6Yl0ZM6CeqRwi+nwBipEwmYypB4DffQwoLEUfsze+8QpAFAPJAiYen9Dp+D4tJbwFBCW+A1JIiDPxgMNDe3p663a7W1tbU7XbNoEKS5fN567TM5OS+4Gck2cKVrohBGPPj42PF43Ftbm5aUQ/nWV1dtRTofD5XvV43g4Cx9ZyE132Uy2UVi0UzaGdnZxaz48XhVzAcoMdSqWQGYTabaW9vL7JIQReI2TyakWQGDXQzn891/fp11Wo1k3BzT41GI6JhYG5R+Eb3536/r2azqfH4coes7e1tnZ6eqtFomMGDS6hWq3r48KHCMDSF5q1btxSLxYxDe9bjhxqFMAz/0g/41a895bOhpL/+YS/qjxsvvfSSWWQsKrncXq+ni4sLq0TzIQKwEo9Knpv4Ek/DJPcZCvLwkgxyksoajy87SAOjEapIV007WPgsIp/OI0zgeBgen2LjuoDX0hXSAN5y3T5zwQDOgzByuZwJovwxMLaFQiGCJoDifhs5jGy/37eNWUFNPA9UeclkUtevX4/spI3yb2NjQ4lEQicnJxavk3XB+JHmBEGwFZ5PCQfBZU8E0ArvHjjPM+OPz5x4IRT3kcvlTHhVrVaN9yFMqtVqdtzJZKJWq6VGoxEJaQhTSO9OJhNtbGwol8tZ6NXtdjUajdTtdtVut9Xr9YxEJQuCMST0pT7ieY0XTtFI7ptKN0laXV3V6upqJNfNC5vNZuYpfEks2QAW5+npqan+/OQENhMqEN9xHukqY0FszaAQCYkq3onMA/cC7+BTadREkKMnXQnJ5vsLMnz6kIIbDCRI59GjRxHovLhnQyqVssm/sbFhi6xQKFjr9lQqpVarpevXr6tarerdd981b00HbQxDpVLRysqKSZMPDg50dHSkYrGoX/zFX9Ta2pq+9a1vWV2F50YoXpJkBgWSdDqdWpv4ZrNpqJFekqgWYf+J68vlskajkaVuac5CCAghST0EYqyLiwsdHh4qCAIdHR2ZloAGKWF4WeeAjBwlqUcrkMWdTkftdtv0IKenpyoWi7aZTavVsuNxn6VSSbu7u1Ye/zzJxhfOKPj0WiqVshfshSx4WD5HOICXZ1Hj2TAMhBwQV3js4XAYMTReGAUb7IuK8MjwCF72igTaE55eQekRzGI6k4kA/EUw49WDIAtCAb5LduXo6EixWMzy9cTPqBO5N+7HP0dfo8H1ZrNZM2CDwUC5XE69Xs+MTbVatckvySDwxz/+cd24cUNf/vKXtb+/H3mG0+nUrh8CziMfttTjefpWbIRkLEq4FwRgPEfCM4xlqVSy82KoyZRA8DEX9vf3rVozl8upWCxGVIsgM4w+oQScRRiG2tvb0/n5uer1uiqVihkmEADFWDz3TCajzc3N99XqPI/xwhkFYDLx2Hw+V7vdVrPZNAUZEwy2mPw1KjZSiSwm1HV+4WFIvK5+sWrOFxL5hUm5LwufTAPNOKiJwKD4RQh0BXpyPAwHxojJ4+ExKKfT6dhCaDQaZuAg2obDocXjcBV4X7w1Yh08YrfbjejvSeE9fPjQUNL6+rrxNVwP8Pfo6Mj2Nnj99de1vb2tb33rW9rd3TUPubKyolwup7OzMxNX1Wo1bW1tWXqPY6dSKZ2dnZlnxhBy/QjZ/DvAIKPkxMgB08kGYTzYTYoWd7VazbpHt1otpdNpNZtNe6ZcG3s9EAKR6hwMBjo8PNTq6qpKpZIajYYqlYpxPl4NGgSBHj9+bKj1/Pzc9ss4PT19rlqFF8oo1Ot1Y7Dp0YcnlqKNNz3hAxwFIkPksaAX41Pgpk/9AcWZaF6sRIqOScb5vR4CAY//jL8+5MuIcEACPtVJCISR8YYHr86/PRkIucmih5yUrpALzwPyDSVlu91Wu922sIsNUAjLJL0PLXkhlvfwiURC1WpVhUJBX/va19RsNiMbwYDw8MCQqmQE2u22BoNBhEDmuFwb18/zBUUSkxMSMl8k2c+YPx7pBUFgxmdlZcXQAu+TMGNlZUVHR0cWquJ4QGhUfh4dHUUQRLvdtufJ+/INYHmXnkAH6T2v8UIZBRYbJcRYY0kRry5d9SJgQUuyFBcTBo7AM/18x7PtpN+YRHATpPhAIAy09kBT35cAYsmLaTAwDAp08Mi+KpDrw5CxCPCEZFJms5lBaA/9Nzc3tba2pr29PSM/pSvD1Ww21W63lcvldOPGDQtHJNmzRBDE4kGNB0nKPgy+jRx5/9FopHv37pmMmvg/lUqp2+3q1q1bprM4OzvTZHK5z0K/39fBwYGp/PD2iJYIH0in+hCNCk6ftpWumrbiCHhPZABIfSOWq9fr9u6r1arq9br29/eVz+d19+5d3blzRw8fPrT3e3p6qgcPHlhoEoaXpdrj8VjHx8eWOQF1QvKStcGwHx4empQeWXe9Xjcy9FmPF8ooEC7QuQZrCyvPi/eFOzDseF/ibryAr2NgcjOhsN5YdkIWFiDxo3RVLsuxCAv8QvYDuMr38A5o371sF3Tg40syHxgEjBcThZ9xfF/7IV11i8KoSbLUK6gBNpxUIVoGJjKe2PeZ5Dh8x8P0wWCgs7MzhWFo6kx+J13unkR8jSwY0RTpVowk28d5HqBerxs56xWU3D/f96EUHArPB8jv5xxK1Fqtpnq9bvUU1LLs7e3p3XfftWpdMhSpVEr3799Xu902PoBsCp2pMTJSdCtAjGy329Xp6alqtZqlaLvdrvFVP/NGgRx+r9fTysqKLUzgYDqdtrwwi4k0JBPQb7SCpoCfJ5NJy4GTzfC5dowIi424zpduY2Sm06lqtZqkq63DKK3OZrNWFkwIwiLzCx+pM9eH4UokLgtums2mGT6QDCTpbDYz6M0Ci8fjBmNJX7LDs0/VkXdHMcqzoqyaRUpmgVbzqBCBwNPpVLdv37bmshcXF5aCJG6vVqvWtIXn4I0BSCWZTFqBEk1RJpOJPQPfii+ZvGyBxjbzoEDETs1m0wjCdruti4sLawI8n89VrVbfV69QKBR0fHxsG+7s7u6q3+/r5s2b2tjY0KNHj/TNb35TlUpFhUJBX/7yl7W9va1PfOITunfvnk5PT1UoFHTt2jV1u11tbW2pVCpZE5Xt7W17v/F4XBsbG8bp8MxxRtPp1BSPz2O8cEaBic9LQq4KJwCjz6LwBTZ4W/LyiH+8qAnrjbcgbgWWs7C8cAfmXroiKAlPYMnhMRZlzf6+iNO99wStsO8gJBQTAhTh+QfgNwIkH1YBtYHQfM/XjxCm+epGSREDxb3H43Hr2AxSAMEFQWApPw+7IQKBy0BneBLCg9FoZHUAg8FAq6urRgyzgJBzk4kixOE+ScdiNAg9MWBoGtCXENKRWsVj5/N57e/vm5EgdVgsFnXt2jW1222dnp5aQ5vj42MNh0O9/PLLunbtmr7+9a8rnU5rZWXFDAHhFnODwfNgbjGfaDaLAOp5jRfKKEynU8s7s1iYSMRb/N9LWL2EGaMA6mAioycgVpNkC5hsQCaTsfw/3iWbzermzZvmac7OzkyAgjWnUQcTjnhaumrySloNAwOhRms3IDXGjhDB8wiERDTyYHFBsE0mE0NCLFLvfTycx9t2u13r5pROp+28CJfQ5AdBYAiNMKNcLlvMv7W1ZQuA94Mh7Xa7Wl9ft+K2drutg4MD1Wo1ra6u6gtf+IJms5mq1aqFNjSkpdLSi7h4HhQsxWIxPXr0SP1+X9evX7diI5AQzX+DINCrr76q+fxyZ6lGo2EZJhSIzLXNzU0rLqMZys2bN22Obm1taTwe691337W2cnt7e/q1X/s1ra6u6vd+7/fUbreVz+dVLpfNoBDugEiZI6CelZUVPX782DITz2O8UEbBFyPhzXK5nMEsOhkzKfAI8ANhGKpcLku6MiagC4wFJc9AZb7LuWHuOa501ZGJhe5DAbyBb64CIkAsIynCjicSCZuMgavwQwCD9h24y+/YVNUTiByH/9NeHiOJx2KxEZL5nHkYhrbnJR7cZ2xY3MTfnK/T6Wh7e9vShZw7FotZ/wFfbg4K63Q6pk/4/ve/r1arpXK5bKpHrhHI3e127X14rgP5Mn0S4Dl81gR+YGdnx1BnrVZTLpfT0dGRGSy0HNvb20aYwhf5Ai+4HAzvw4cPrYSd7eVSqZSuXbumyWSid99910JgQi6+C6JC/k6DF5SlOJlnPV4oo4D3w0Ol02mL5zEKEHpYWhYqVWutVssY58lkYhMZr8FiOz4+Vi6X08rKilXnsekK4QZ5d0peKTDC6/pNRJn40tVmpZ5tZjJgiDY3N63FOZoCjAFxsA+JvECIEmo6MSEiwrg1Gg2DtxgDmpaen5+b2g9upVKpWAqMkAsOIZFIWO0J10KreRZ+tVq11nGkDa9du2b1Fj7coH5gdXVV/+bf/BvbzIa0aDKZ1J07d1SpVFStVnVycqJms2loBeO3ublpCCuVSunWrVvq9Xq2YzQ9J6rVqlZWVpRIJHTjxg1dXFzo4OBAW1tb+sxnPqPj42NzKFRBVioVe77UN0iysJJ5ms/n1Wg0NJvNtLW1pZ2dHf3O7/yOBoOBfv3Xf10bGxsqFoum9QDtcB/z+dyk4NevX9fbb79tfRyKxaKOj49VqVSsV+ezGi+UUfC15YvCIjws3jsej5vyjpgylUpZEQnhAh6d3DzfJY3FQpVkTDuxJ+QYHAGhig8TICc9D8A1cgzCIeTOwGJIwF6vZwgImSsL04uuyLosZkKYZMTGw+HQQiGyHEBwnifPDLKTsAUPjCHtdDo6PT2174OK8Jinp6cWM5MdAp7n83l1u10ryOL5oklgUfj6hnQ6bd2r2B6PdwYHAMLh8wwMMf0u8NqSdHp6qvl8ru3tbR0dHenx48f6zGc+o52dHX3hC1+wOefb3LPRC2jDV3WCgGq1mmU95vO53nnnHcViMR0dHSmdTuvNN9+0vR8wuPv7+yaHHw6HkZ4NcAqshWw2+7NtFPyeA7wcX3PgYzAWOt4POIbYifgbZjuZTJo8l8kEJOx0OrZgiK05F2QcXoR/+yIWDJCvvcB4UFcAl4BBIBzwTDxowxc9+YIv0AqFYUDyyWRi56E2oFqtmgeGlMTjcf8YLaoEE4mE3Rv3Hoah3nvvPa2vr0cITchBVH5Abu7t8PDQUBXXIclqLRAMob70pKYktVotCw/JOrCwcrmcHe/mzZum8pSiG8sSYnou6pVXXpF0mT5dWVmxcEi62tXq/Pxcp6endo2EccwXECODjBm8UTqdtuar6+vrds8YKNrPgRrm88suYxgB+CX4m2c9Xqh9H27fvm2QudfrmZEgTocYgqlvNBrGFfDwUK0x4VHNQTQxQSqVihkNxDrAeSaBdIkGkK0Wi0WD1F5PUKlUtLGxYZwB6IWwgd+ToqT+gXRqrVaLcCSkRCnbns0uuyThNfkdlaMYsPX1dW1tbWk0GqnZbKrf7+s73/mO4vHLVmtka6TL/oHvvPOOxeT9ft+eFQYYvuLo6MiY+HK5bNdVqVSsIpPY2asfkTX3+33TM/jQCKEZBiqXy6lardq78Xl7GtdC6gK/KVhCAMVCfumll5TJZKy70d27d83gA/ULhYLOzs7UbDYVBJfNXYbDoR4+fCjpsm0/1Yykd0ulkoWdPGdJ2t/ft1Lox48f6+DgwJ6Fr3ugryZIDcdHins0Gunk5MQqVXO5nPb29j7oUvvo7fvAQga+kr4DFUDYYF3xbp7FJ66HVELFBonnCUWKiXzBEiiFBUv8CLnFgpnP59YkAyPApPOFP2Q1vNgokUjY5iN8DmKPcAHUQ3iAlwIxQB5S8ShF+02ig0gkEup0OqahQPPhq/BY/OgeIMWY/ExuSqg5LnUP/v1JV4IpX78C9PZZDpAJz5S6inw+r1qtZpwJtR7cI0Szr4GAS+AZElYQ4kFCHh0dWbPb1157zcIXip729vY0GAysCIz+E15uTnqUe2I+zWYzbWxsKAgC3b9/38JAqkj7/b7pSOBeCBfgUAgjmRfPOnSQXjCj0O12I2pDICUTDEJvMaSghDWdTtvuS7VazRSH0lVpri+zJsYD9iNYIu1348YNW2DT6VRHR0dWOIP4xxcxlctl89zsXcD36eCTzWbNYBFmwPAjl3348KHJbplsICCOhYf16rxOp2Mb0K6trZlRQnqN8WNXJcjUBw8e2PMDokuyHag2NjYUj1/uG9ntdo0bmE6nJjjiOVerVZXLZe3v7+v09NTScjRy5R5BN4VCwSY+qVFKtk9PT7W7u2shWr1eV71eVzqd1nvvvRdRnPKcf+7nfk6xWEx/8Ad/oF6vp1dffVXJZFK7u7t2DsJAT/wGQaDd3V3t7e1pdXXV+BAk8MwTUCyZEsJRJNmPHj1SPB7Xn/yTf1KtVktf+cpXLJVLOrbX65kBIFMB70PGjZCr1Wo983X2QhkFSfaiLy4uzNvRKJSf4+FZjMT7LFSKbpLJZGT7cowJC0266j7say7Q7OMRiPv7/b5VNHI+0AIohsYqZAK8VoDFg7fkM2wbjycHBXA9IAx0BhCFeCoyGzRipYyYyT8YDHR8fKzpdKpqtWrPDI8EVKWO38tw4TmA8yAh6aoRDFkM0A6cDjE04U+pVNLJyYl9F8OAseMeuQ82XMWL81mQIqNcLmt1ddU8MZWqNFXN5/MqFouWVeB5HR4eKpPJ6LXXXtNkMtGDBw8kXRbm8azx8MydwWCg09NTk1qzuW2r1VKn09H3vvc9VSoV/dzP/Zykq0a5cDtoXHwpv3TJgaA/abfbkVqdxd2zP+x4oYzCxsaGOp2OLRpfzsuD8Yo0PE8Yhjo5OYmQeMBq380H2MsLBxZD6mAs6OUP60yefHV11fiJfr9vu/6QL2dyI/xhsTebTau8o+waHoEFirQVoxAEgTVuwehAZiHFjcViqlarJqn2ZcetVisSv1NMxDOCyUeAhFJSkinyfD8KUob1et3Ci263q4cPHxrXMJ1O7byZTMZaw41GI7388svqdrs6OzuzY3r4TDlyLpfT/v6+qUNzuZxWV1c1m810cnJicfaNGzfUbrdVqVSUyWQsTfrgwQONRiOtra0pnU7rnXfe0c7OjpGKPIder2eZqmvXrimTyVgLuePjY5sLk8lEb775pkqlkh48eKDT01ONx2Otra1ZpkOSCd4Iib70pS8ZISxdhlQ8/1u3bhnSYt8MEFwqlbLMxdbWluLxuA4ODp7pOnuhjAKEoY/r8dySjGPwtQTE9EiXESWhZMSzQpxhGEAVaAkg4/h5IpEwi05sLMk2DJEuPRjhC4IU6WoDEq7L8yPE5qenp8aqE/MSFuDBCZd8jYfPTPB8QCCkZfP5vIUI6C7gFOBSEIWRKsWzE4oRLvjt3ihxfvz4sYm8fEqXakCyHEx8DFgymbQt2Dmv39gG2H54eGhxPm3qi8WiLWrITo49GAzUaDQMHfb7fbXbbQvXUqmUaVBYkDRFnUwm2t3d1fb2tu7cuaNer6fj42PrptTpdKwRC8iBzYp80x6Ec9Vq1dAEWQqQKvPbh7TwRSCKi4sLkz6jfnzW44UyCqSxBoOBhsOhdfWBUca7AFHPz8/VbretNBmYBjPuG2P4tlpAVcIGUAXZAeJvTyomEgkdHBzY5KbIx2dESCHxN95NkqnzmIxARa5pPp9rc3NT8XhcDx48iPRF5J6pEgQxEDaBHur1ui2EVqulbrdr+n+0AvRVJEzr9Xq6c+dOxKPxO2J84mx2VyLOlmQs/OHhoW1qAlPPouU5YNh89WAulzOSdmNjw5ANqIHUoiTt7OxoOBzq8PBQzWZTd+/etW3xYrGYhYqlUknr6+tmJJrNpm3I+9577ymVStmOXcPhUG+99Za+//3v680339TKyopeffVVtVotffGLX7R7G4/HunHjhvFLoBSQGmQz82NnZ0f1el3f+ta3rKiLdnFku+r1uvWJzGazOjg4UKfTMaNH09tnPV4Yo7Czs2O96zyEhpUmncOECsPQJiDeFY/JIkN7wIuSZF1y8NDEz3hQ0oq+5JgFw/FJKxISxGIxNZtNg8AcQ5Jp2vkcoiUKgYDh2WzWKgyHw6GRWagIJdn5MCiSIouPPo+w2YRSkLaeLGMyIk2GgPUIpd/vW+8HngPkJnyFz3JgzL12g81QTk5OLH0ZhqGhLEmWMTg+Pjb+BuUlylH0AvSD2NzcVLlcNvhOn0U/II4RX5VKJUM/2Ww2sikMKk+QGZ2kRqORZYpoxMNcQyV6cnKi8/Nz66RFVglUNxgMjNPA6BK6wtGASpgnpGufh9T5hTEKTBZJln0ghIBoI7+P+EO6amBCSpF41e83CRRD/AN5A3SrVqvqdrsG4+gxgBenhmBtbS3C+pPGY0Jvb29baXCz2VSxWNTa2lqk38La2pqpGhGvQDb6HYokRRbOdDq1nDsTi4zG6uqqGQMgqfe25XJZ8/ncMhOk2tAR5HI5ra+v276dKEWp60+n05bDZ9LSCm40Glk6MJlM2s7MVAJy7ZlMxjI7vrcE8B5NBdLhRqOhW7duWYsy7j+bzeqTn/ykNTk5ODhQPp/XjRs3NBwO9dWvftVCivv370fmC9L3MAx1fHxs74/yb9SlCKf+1J/6U2o0GpIujc7e3p729/fNiB4eHmo4HBo6RfVJNikMLxvbPnjwwI6bzWb16quvajQa6eHDh1pdXdVoNDJUAELLZrPa29uzUOxZjhfGKOClMAyk4fBCvtqPSe8lz75W3acCpcuuwaTEyCpAIvlyZyBeoVCIWG0MEjwBBolMA59DYUnvP/aN8AQjux+ROiWGRMfvdfGgG4wH/f5IZxJvE49isKiWXJTKUg4MuUeYtbq6ajoMsjqlUkk7OzsKgkCHh4dG+vF8pEtimMmPGhEkAhojLvbpSIwxXZk4Nu+BkA/UxZygLdr6+ro1iMWogbgID/H4hB/NZtPI1Wq1KkmGMjY2NrS2tqaHDx+q3++b/Jx4Pp/PW1gGGqKycjKZmOH0/ALdrW7fvq179+5Z+AgiRR5eKBTsfeNgmJOL9T3ParwwRoEWWUBfCn08dGfy4pmIZ/3uv8S7o9HISp+RxXohlG/KyiRgkmDpfa8Dctk0VsHIUAnJCz89PWNhkdMAACAASURBVLUCmUqlYhwC5bX9ft/2YEDMs7GxYV4cYQ/pTbaoo3S6Xq9byTPpQJ/yg6Td3d3V6empoaydnR0jwDY3N5XP57W9va3NzU1LpyECI8UIusDgra+vG+9CePL48WOFYahbt25pdXVVDx48MNiOuOnk5ETValXFYtGyEbu7u9ra2jIDxTvCCBBC+e3c6/W61SKcnJwYWw9vgD4Eo5LJZLS/v69CoWCiItKR9Jns9Xr6t//232pjY0Ovv/66oZ8gCPT1r3/deBL2ndze3lYsFtPh4aERzixmvwEMxWHlcllhGOr+/ft67bXXrKw7CAK9/vrrljnxHNfx8bEh3ucxXhijICmi9vOxFXpwvCc6e0lGCBKfMYElWQoIxMAEJB3phU4saqx9KpUyvoEJhAeEfIRVzmQy5um4BwwGezwSY5OtQC0IO41eYjAYWAkujHU2m40IuHxIQT8IlH2EUjRk9ZkZrh8yFE8OK44HhH84OjpSPH61BVssFrNcP4iI+4fI801LaRpCWbGvB/ENUSiMoocCKkFK5rPZrJGohAAIe0hJrqys6Pj4WGdnZ4a2WNwYXzQa3O9gMLA5Qsbi/PzcNtqtVqtG2kqyDJRPU4PmaDaDIVxfX1elUtHBwYHG47FeeeUVbW9v6+2331an09GtW7cUj8fVarUM8VLIBlIADT9rXuGDbBv3DyT9aUknYRi+8eRn/4Ok/0oS+1b992EY/s6T3/13kv6apJmk/yYMw3/9rC62Xq+rWCyauq7dbqtcLuvs7CySeoPM8k00EDsxadkIhPSedNVjATIP7QKbxRLTeYKTYqp4PG6tyqlrkGQpx1qtZsVZQPDJZGKwE9TQbDa1srKiu3fvGmONwTg9PVUYhrp27Vok1UYMTmMUQoXxeGzKOlJ83/72t7W7u2tx8fn5uaX6SLWhwuTcd+/e1fn5ue7fv69+v698Ph8plqIm4tGjRyqXy6rX6yYow9uDaFB1kkbEIEJy+o7Jh4eHFnpQ50IquVqtGjy/e/eu1tbWNBwOzauura1ZyngwGOjhw4eWz0d8BG8CIiBrRTaD4iru9Z133rHt6N555x19+tOfNuO/srJiKVxCNxwKhgrU12q1lMvl9Morr+hjH/uYyuWy3nvvPR0eHpo2JJVKWSOYra0tS0fn83kLL/v9/jMPHaQPhhT+oaS/J+kfLfz8fwvD8H/2PwiC4DVJf1HS65K2JP2/QRC8HIbhM0mm0t0YL4MXSSSu2omRe/dpLSAzTDUTAuVjp9OJ6ARQzaEMhBzi9xgHUAn1BHgK6WrPRQQ+ZAOoPwC1IEjinOx3AEdBDpwFTFsxJtpoNFKn07E8OVkVn31BV9FsNo1Y9TUAEJCZTMYYcrgH9ipot9t6/Pix4vG4IScQBYQrhBipQkhV1I7lctlCLs+s+16Dg8HAQh/Ov7KyolKpZGHA3bt3I4QuyK3ZbEYqWqk+JOU5n8+taI2Qw1fedrtd69Jcr9c1n89NoMZ8QnbcbrfN4H7sYx9TPB7X2tqadcVCOQsyxatjaGazy30tmTdUxPrwmGfX7/fN4IAGUVKyBp7l+CB7Sf5/QRDc/IDH+zOSfjsMwwtJ7wVBcF/SJyX94Y99hdFrMQjmuwfhvfHqwHQvCmGS+XQd35NkqUTpqhwa9IEIByOCHoJSZzw1jD8TlngWo0RYwu/wbOl0WkdHl5tzr6ysWB09XhRDh9gHAtF38vWQUlIkx08KFG0CEF2SKS5RXfI84vG46TiA4+TQS6WSTVjfZj0ILneigsSEsZdkz4LGKkitUesRIhDqdTodI0ExJJPJROvr6yY4w1BgnBqNhlqtlqE0iGX2X0DpCcrDwPvQjdoJXwuCvmFzc1PD4VA7Ozt67bXX9Pu///tqt9t65ZVXbPNejAIEIc6IEAuBFcaWTXnJKuBYSLminCV0YK56xPqsx4fhFP5GEAT/maSvSfpvwzBsSdqW9GX3mf0nP3smA6INSEc8zwag1JxTrCLJwgOYcVKFq6ur9rKoV/C18fQDBKL5sALdgE9vktqSZB19mYA0M4Expuip1+tZSqter1uPwl6vp0KhoJ2dHdVqNb333nuWEmXRSpeS7lKpZD0cuE4WKBLu8Xist956yzwOUJ1sy3Q61eHhoRqNhgmYCEPOz8+1tramUqmk2Wyma9eumRrP95tgpyS4ia2tLdNnEB6cn5+rWq2aVBg+h+tnsZKJwCDAEY1GI3tXqVTKSoiTyaS+9KUv6Zvf/KaCIND29rZefvllqzbE87K4kZf3ej0NBgM1m00lEgltbW3p5OREQRCYp19bW7MuTvAJp6en+uQnP6lPfepT2t3d1Ve/+lWl05f7ceJ0kCPHYjHbg5PnDE8DOpSuOoUxB5k3OKWVlRVtbW1ZBuv8/NzUuc+6ieuPaxT+vqT/SVL45O//RdJ/KSl4ymefGvQEQfBZSZ/9UU6K6pC9EbrdrhFtpGyIn3kJHtp7xRxQG8EJcBn9A8x9rVazrtEQb0xOUAhdf/L5vBFBHNsXYo3HY1tcpOaIy2lbf3Fxoa2tLWubLskyKOSkWUgIjHy/PjIoviR5NrvcWKXVaqlWqxnR5sU/kJVwHRgw3zCE++12u2YIDw8PJSmyD8edO3fM86+srGg2m+nevXsqlUpqt9sqFAq6ffu2pEuDcnJyYpkiVIYYcHiUILjcVbper1u2YjAYWD3MeDy2Xgs3btwwXoPUniQruQ+CQK1WyzIShIVoMCg6unv3rqSr4iyIRkk6ODiwtnDf/va3rW0ddSNcL86LZ8NGxvBjvvQZgwLi8r0reJ8YDt7ffyhO4X0jDMNj/h0Ewf8p6V89+e++pGvuozuSDn/AMT4n6XNPjvGB7oy0HNuKMelZrHhyJomvesNjIu6Rrjo0NZtNXbt2zSYNrcbwpuzOw0KmVBhSERUkHEQymbTUmqRI56PV1VW7dsRG5XJZ/X5fh4eH6vf7poE4OjqyPQhYqHTdIWvw5PlZURJhgC/MIl1HLHp2dmax9urqKu/DFvDjx4/Nc1IeXCgUtLe3p4uLC12/fl2NRkOnp6eGlK5du2apQsIowoLj42PdunVLuVxOBwcHarVaWl1dNWSB4dza2jKF43w+twXUaDQMVjebTVUqFfX7fStk6nQ6KhaL2t7eVr/ftz6cfD+VSlm4cnBwYN4Vg/D48WOVy+VIlyuqKgn14vG4fv7nf15vvvmmhsOh7t27p89//vMqFAomjNrd3bV+lu1228jgs7Mzq4W4uLgwohwH4he5dNXKrV6v27smg8T2drxzzvEsx49lFIIg2AzD8OjJf39T0nef/Pvzkv5xEAT/qy6JxjuSvvKhr/LqvEYyYv1Z6EhseYB4U9hrSRGOAZbZFxoxSfAWEJLEw4lEwlJcTHhQxXw+19nZmRkQUmVkPpgIdDKioo8WaYQvaOmn06lu3bql2exyZyJv4DBWZD9YgLQ/Y4IRU/uNZ0AwqVTKSKvxeGwybDoY0fbMG1+eDwVktVrN4vVYLGZcAgw82gjYfkKcjY0NHR0dqVQq6ezszAhPUpi1Ws2gOM9Qkj3rzc1Ny9kTU1M1So8HhFKVSkXFYlG9Xk/dbletVkuFQkFbW1tqNptWxQmfgTOQZIrDtbU1BUGgT3/60/r4xz+uvb09nZ2dqVarqVQqWecpeJdqtWo8C0bal3rDN5ABAsUSosI/UT7N4PdwLHBLz3p8kJTkP5H0q5LqQRDsS/rbkn41CII3dRka7Er6ryUpDMO3giD4Z5LeljSV9NefVeZBku7cuWOemUFOmIpGWHeMAhkJUAZqw3K5bFWDtC1jElKPgHHxzT8Rq0BWEheTSSAzAGohVbmysiJJthlKKpUyFRuejclLYQ4S4V/+5V+WdKm8JC5fWVkxz0bqFEMxGo0MHn/zm99Ur9dTJpOxjsfkykEA5+fnOjg40MrKihnReDyuRqNhJcWj0WUXY2A2IUA8Htd3vvMduy4gNAsKMY50JTlvtVra2Niw50e/AdKUe3t7KpfLRtxhmHm+VCq+8cYbKpVK2traslBmfX3dxGRkReAMSqWS3njjDSNvMTLtdlu3b9+23ot4+Xq9rmq1atmtra0tzWYzfeITn9CnP/1p3bt3T7/927+tr3/969YRaW9vT0EQ6ObNm8aFoBYlcxEEgT1DeB+MGBkeeCsfHlIzAZlO6Pest477INmHv/SUH/9ff8zn/46kv/NhLuoHDb/9Gd4KAROLYTwe20TGY4EKUMT5VB1GgK7GhBRMRHgGxEYQikEQ2GahkizdRQzIRKIhC3Jsz5xTE9Fut81T+b0biXnX19dNuUd6jc+Px2Pbbr5QKKhSqVj+HpETpbbEql7/AJmKWIvcPhWYXC8l6MPh0L7n2XHCDwwmoikKjMg0tNttbW1taXt7O2JYQXtUpIIIuTZJ1psRNWqpVFKpVLLFR48HDNtsNrP27xyDLA0GCgUqnAwGnNbyh4eHtqEL7f7he+AURqORHZdndXJyYmGAL2cHpWYyGZXLZbtHQkaEUnBGOCaeFTyZDxmf9XihGrd+6lOfsnz80dGRjo6ODOZ6hp/SUhqvIEqh0EiSkUkwwdevX5d0VSVJSTOen01tkU8jp2ahce4wDFUqlUyNh9pRkkmE4REk6Z133lG73dba2ppu3rypRCKhk5MTff/737c0KUw1Xo5y8ZOTE0Mu5+fn2t7eVqlU0u7urnVBnkwmZnjoAZDNZnX9+nVTzL333nsql8vWFASjgAISwRK8Sb1eN6MiyVqigZrW19cNfe3t7VnoUSgUVCwW1Wg09KlPfcr2YaCgCaMtKaLWq9Vq9l34iEqlYhkMSaZ4pCaBMIo+EWdnZ7YJ7NrampGAb731VmQvR0IT5lQikdDOzo7eeOMN/cZv/IYePXqkf//v/71qtZr+wl/4C/rGN76hP/tn/6xWVlZ0584dK9v2Eni0EY8fP9bGxoay2axWV1dVq9X0R3/0R9bnkZb1hGA0kKlUKup2u2YAkK1TQ/EjjI9e41YsvheUTKdT254c9nY4HFo4gef2wiS8Jl6FWJeUGMIb4mBizEajYYozYngKpzg+AhNUjbD6fk9FoCQem9geaPrGG28omUzq0aNHtv8Bhk66MoCStLe3Z/UbrVZLrVZL3/ve9wz6IuxhM5izszOtra1ZhkOSdVcifkcQRJiBR6OxCQvOF2fBjINyKP2u1WpWgEVTFJ9VwCPW63XLvuzv79t2dRgbUBsVghcXF8YRkCWhlyEViqA/7gnSkLiddwdMJ52LJ+a4d+7c0c7Ojg4ODtRoNHT79m3bAFaS/sSf+BOGLNfW1pTL5QytkQXzFa9hGBpJSys7+DAMK8+T0nbmKaEFnMPzGC+UUQC6v/POOwqCQFtbW2q32xb78jAR6GAE0LZ7dpcUHzngZrNpHYW8fDebzWp9fd32+vNekFCGeJqFjdEKw9D4AsqZQR54QXoHVKtVra2t6fXXX1cymdS9e/cszICY2t/f1/b2tqXvTk5OLJc9Go20urpqoQj9FmCskfPi7ckkAJfZCSmXy5nOYm9vT71eT2tra9Y4JpVK6Y/+6I/My6+srJihhXhstVo6OjqyhdXr9axVHYuYugu4HOlS4LS5uWkcx/b2toUsjUbDeIb33ntPk8lEm5ubVk5OZSbhIgbYc0Cbm5uaTqc6OTnR9evXbYdtujnt7+9HWP3NzU0jdWkRv729rddff9289DvvvGM7PUHWbmxsmAJUuoT8ZEjI/nhtDYu71WqZ9J1nRPVmOp2OcE6+xuVZjxfKKNBCDJhOnM7D8YVPKMJg9VdWVqyxKhOX1mJkE8jv+wXrJdUQX61WS+fn55Z+8nsrEDbgRfEWpVJJkqwqEm+MCIrNVL761a9qPB5bFyNQQr/f18bGhra2tiTJevT1ej3zgHhdPBLXRAmxb+KCfgHlJCkzwsl2u62joyOLkSFpQV0gBniMhw8fGgzGg29sbFg8jf4B8o/Sd8IS4miMug/XfFESRUblclk7Ozumc+CcxOzUWVBn8ujRI1tM7NHh60Y8408cj2ApCALbpYneGePx2Po1PHr0SLdv39b169f16NEjDQYD3blzR8ViUd/4xjcsDCHs7ff7qtVqRk6CSpmrPDNqTHwRGUiDornnMV4oTuHmzZuSZLUKLHDaaMMyh2FonwGaQVCtrKzYgqWvAhDeE1mkg5LJpKUaiUPz+bxarZY2Nzd1dnZm/MTt27et+w9iKNR5bFX2sY99TNVq1UREu7u71jLOZw4Gg4H1ByAf/+qrryqbzers7EyPHj3SSy+9FPFW3/zmN3V4eKhf/uVf1tHRkfb3940rIZvC86KPIpmFTCajbDZrLchZIOl02hqjfve731Wz2dTP//zPq1wu60tf+pLW1tasHLxarerGjRtGCBMeMbrdrhGJm5ub1m4MBeDx8fH79nwAZdXrdeMeXnvtNVP6HR8f691337VNVMrlshWYUR0Jz5RKpew4w+FQ3/3ud/W1r33Naj2A7uhPdnZ27B3/lb/yV/Qrv/Ir1vyk0WjoO9/5jh49eqRqtao33nhDn/zkJzUej3X//n195StfUb/f1+c//3kNh8NIr4tUKmVt4gi3KHS6uLjQ5uam8UZUpqJaxNFUKhVrLPsjjI8ep0CHZLwVXABkHnEXhoDJjffIZrMmSIF72NnZUSKR0KNHjww6In0mVmZC+a5E3W5XL730knEQ9CtEUYkcFYEOrH0ulzPyy3uuvb0901ig0iRkYNeh9957zxDCeDzWd77zHUt3ER9DTnU6Ha2srJiCENSxs7NjsmK8EFkXJOK0WAMWk0VoNpuWKZCuWq/jCZnYtFCnOpHnDjKTZAQhuXpSxxhr3h1pYvphQEjSP/Lo6Mj4nXq9biEMcJsSZOmSoNvc3NR4PNa3vvUtSx/WajXTMWAs0ZWgNv13/+7f2Tve3d3Vo0ePrPPR3bt39corr6hYLKpWq2lzc1O/+7u/q8ePH+vOnTs6OztTo9GIKGlBAaAx6i2oz6G0fZELg3d4nuOFQgqSLBfvm6BQ/0AKjlbcbNlFvQCTT5LtKkR13Y0bN9Tv9y3UQEC0ublpuxsj0yX1xGQDqhNugFZg8iuVih4/fqzRaGST9tq1ayoUCnr8+LGJUKjdqNVqVnvANXBt169fN6VePB63a0L8Ay/CZCfVCOx+6aWX1Gg09LWvfU0XFxeq1WqqVqtGaDIBM5mMPv7xjyuXy+nevXsWbhwcHNjC9l2T0AqcnJxYxR/vh94QIAPk6fF43GJmDCVS4Fu3bmk6vdqg9u7du9rc3JR0KXcnRXt6emqZomvXrhk6IURBP7K3txcpkoPgY5t7ird4T8wxMkPcBz0UaFCTyWT0l//yX9Zv/uZvWu1KOp3W3/pbf0tf/vKX9cYbb6jf7+utt97SdHrZyLfX6+kXfuEXNB6PdXh4aHNwPr9sU9fr9VQul62Zbrvdtj03mHekW3/E8dFDCtJlehFPAINM5oD0oiRLpfF5YjaKipgEaAmoOiSMkGSCH5R6bAKKZn08Hlu8L8m0EcTWXnlIHCtdGiSIN4p1mBQw3xS/tNtt7e/vG+Tsdrva3d21vPna2pr6/b4ODg5M+0AdSKPR0M0nG6wSO4OyarWaFX+dnJyY0AqeIZ1OW69AQgHfuYodmlKplPUI8FJyYl8MJzE11ar0vsB7kmqmVNwjQRayJEM5/AnDUPv7+1YXgnLQZ3gODw/tftGMQO7BVQDTqRj1AjW21YPfQCxXqVQsE7W3t6fbt29bhgeHcO/ePWuxh1ALcpiwiefjNRS+eAw5tHRJWqK/eV7jhUMKoADkydRCeGEIaSwmKc1W0PkPh0PbrPPhw4fWj5A8OFoFMho0+8BKk+Yrl8u2/VwymdTDhw/NEHiZNFJbGOrz83O99tprxmofHh4ag76zs2McSb/f17vvvqtCoWCVemwr9vDhQ5XLZZ2cnGhtbc0Um0EQaH19PbJBCtJmz2wTvjB59/f3zZig9UcWzYJn0e7s7CiVSml3d/d9e0JArMbjcT169ChCDGIgUJsmEgmrRUDM4xcU3YmOjo6snoTmJIRpLPT5fG7b7XU6Hb388sva2NjQdDq1FGe1WlWhUNDx8bHu3btnGgCcAZvkolm4d++eCaXgdWgQgxG6ffu27t69q6OjI6tkZQ794i/+ojqdjv7wD/9Qb731lvEjhDUnJyfWE1OSoUvmGI6FRjGSTE8Sj8d17969H3WpfTSRApMBLwFSgKij8xL1Eb5oClEIeX5UezQ0YUuxjY0NHR4eRroqSVeadfos4HmJyVlQxPds4Y4BATEgVJlMJjo8PLQS3dXVVe3s7CidTpvgKBaL6Zd+6Zd07do1Y+O/+MUvmsfd2dmxhe5jTl/gs7m5qUqlonfffdc0EcikeQ7T6VT5fN72o4AfaTabxjHQNAUPSjMVeBWqNgPXv8ITu7DuXgLu4T7PCgETW67xnPGaqBB9zD0ajUxCXi6XValUTB+CVmE4HJr2g07UZBpAmGwhB5JJ/f/tnWtsndl1nt9NindySFEUL5Ko21AaTIy0Hk/gC2IEk0zRJPPHCdAG7o8mKQy7aJ0iAVogTgIUKdAfSdEkSNEiqQMHSIIgttukiBOgaNM6QWvEl3rsyVw8mbFGo5FIUaR4GZKiSFEkd3+c86zzft8cSrRHpCjpWwDBw8Nzzre/ffZae613vWvt9nadPHkyzt5k7WDIbt68qddff10bGxu6cuWKJMUYh4eH9cwzz0T6cWFhIc7aXFpaig2E9cLGADcBJi7eD1jYXhw/7/LAGYXZ2dkg3kAhpT6e8yAkRTjgzDaqJWl6AjVXUrAbJyYmNDAwoCtXrkQYQJqNBqpOY5Yah9N6es1PHxoYGIhsBCW9c3Nz0YEH7+bWrVtBC6aKT6qlFJeXl6Nz0RtvvBEEITrwuKysrOjq1avhRo+OjoZSp5Q0Pj5eaHBCFoL/c6w9eAReGK4rfQMxynhkKysrwWWg0SuNTGhsypFsFHIBdOJdwURlTskMjYyM6ObNm2EACWkwGADJzDMHAYFvgLtAzR4ZGSkUlXml69zcXCFDQIEZnwvg3d/fr8XFxfDWIJhhyKanpzUxMaGenh695z3v0e3bt/XlL385cBVqH9i8MM6EEQC6GEcvTKvCh5KMjIzEzgY3gUahhw8fLlRCAp4BipF6o88+vfwodSYfv7y8HDTh2dlZHT9+XGfPntXU1FSkznLOcUoVYQr9CCmH5Ys+ffp00Kdp8sJCRdlxh9fX1zU/P69Tp05pdHRUFy5c0MbGhiYmJnT27FktLi5GfrytrS28i8HBwWDdraysBD13cXFR3/rWt7SwsKAnn3xS58+f11//9V9HRgL3FOPk3tfQ0FB4E+xYsBShjnd1dWltbS1OihoeHtalS5cCc8GTkBrNcUdHR7W6uqqpqakozKLtPTskJcnd3d06c+ZMKAK4AhsBzFVo2mQ0Ojtr3Zo50q6vr08TExPR1o3TsDAudFleXl5WR0eHzp8/H52vCSd5Ld2eVldXNTY2FmuQnR0vkUYrJ06cKPRTmJ+fD/yK7BT3d+TIkfAqNjY2Iq3MnFN7812cOP1whg+SQvlAjXEHIapQJFXebaQGGJhSijiXBUXM7Z2LIcRItTw7HgOfz45OR6bOzk6dOnUqmGuUOkN04m+qBXt7e3XkyBFNT0+rvb1dTz31lFZWVnTt2rVA072ZSldXl/72b/9Wk5OTUSEpKVp/z83N6cSJE5qdnY3dlS7IINq0LaNCFKOGp+CLnowNLdLwJNhM6PVAqLOxsREuO2EEO9/a2lqckkUBkAOO7e3t4X2hXC0tLcEWxcBi6D2MlBQl4vACGE9/f3/k/p2gJqkAhG5vb0eVJ9gEnZsIUUghAxSC19DZiQwKXhQckIWFhcA/8KSkGkbG6VMQ2Qhxl5aWNDw8HJsLafH5+fkY/17IA+kpkI6cmJjQ+vq6rly5Ejvl9vZ2nAlArtkbiqIIxHww8TY3N3Xu3DmdO3cukPXJyUm1trZqZGREc3NzeuWVV/TUU0/p3LlzWl5eDj78yy+/HC4jxCZJUVwDuAh1lUU0MjKikydPxm4FWo63QHjzoQ99KLIoFy9eDIr2Sy+9FESgCxcu6PTp09F0lGPSXnzxxaAvd3d3a2JiQtevX9drr70WhU5tbW26fPlytIrDm7p27VqkyUDKW1pa4tQiOPgcAkvq8fTp09GjAcDXz5jAg8MYkc3o6enRwsJCKCX3gRvv/BRqGLa2tnT9+nUtLi7q1KlTAciyy2KEcf0PHz6svr6+OPaNik8nCeENUBPS2dkZa47MBE1iyShApuLMUDpSsTFx4BAAL98J/Au8AIypN1Sh5wZj42i870IeXk8Beiyx2KFDh+KQVIg0uOTEaLi4xIc0TfXGneTh8SxA+mdmZrS0tBQMN+K9S5cuRd5+dHQ0iFBTU1Pq7KydI0CfAKlGnunp6YmsAXEkYUVLS0u0PgNpP3XqlM6ePau1tbUomaZN+tjYmDo6OjQ1NRWMvBs3bmhwcDDqQOilyHHwFE95yg8vBPyA1KTTczGotF8H76DWoq+vL+oMvN4EzgUt80iDEvqB4kuKQjQANUkFToGkCHm8PRk7+cmTJzU0NBS1EngoKysrUdAFXvL2228HCYiDWbgn0H/WCaAkaVFJcU4F7+Ge8U7cAPLdE2p5yhTGKzU0znIEXOW6cEX2qhAKeSCNAhZ7bm4uTijirEVnDvI60H5J8SWQ+4Zr/73f+73BXJyZmdH09LT6+vp06tQpPfnkkzp27FgcxHLhwgW1trbGztTf36/+/v5wnam0Q+kPHToUyDiHwo6Pj2t5eVlXr16NuHJxcTFotiDWr732mnp7ezU/P6/Lly/rsccei2IsFBXgr6OjIxRodXVVMzO1rnlLS0t66623Cjs4WQoUmjgfcGt7ezuUvK2trdCCHM4CoFpPT08c+cCPyAAAIABJREFUNosxoLCKwimp0Y2bQi96TRCGkSpFIfyINuaOrslbW1t688031dXVpbNnz6q9vV1XrlyJ1KpUM6wXL14MJiopSbAbQqq2traohTl69GgAk4DK1Mrw/qtXr0ZvT0nRSIUwh42Ie2G3x9jQfAbAs7OzUzMzM0Eyw9BwxieAOU12yXLslTyQRoE4mC/fy5dBk7G87EROI8XVm5qa0tDQkM6dO6djx47F8xCUIBzRvWd+fj6oyFBUaR9Gag0iTGtraxxMQr6fnD6UXKi6c3Nz4brTDgyi0vT0tF544QVJNebk2NiY5ufnIxWI0XFSFmxOinw4CAcAk7QiQCfUaoBYxyqgHjPneBZkX+gQBDbD3OF9UfMBiEnJNXUpkJy8axbGnM/wIiFCQt4PSAd2AugIyMdOCx7AdwcrkvTe4uJiEN5w053CTek1xWA0gCX8Bhti/q5fv66UUmBJrAE8nXLretKc9Mbg+yZDhMeHB7WX8kAaBUmRivMuNB4L4gmwMw0MDGhwcDAs8uHDhzU2NhbW98UXXwzefU9PT/T4J04E9T106JAef/zxyHacOnVKKaUg3RBnbm9vB7deko4ePRp8fI4349QkgEoWKEYNz4cTrZ999ll1dnbqz/7sz2KspMdIxXZ3d+vixYuB4D/xxBPR8h6EnOo6LxC7cuWKbt++HSw6L/UmfUvY5t2E6BfR0tKi48ePB/EJIhGeEeAbxCU6IgHGYRCoOxkZGYnQBUwAHsjU1JTW1taiTf/169e1vb0ddSCtra1xyM4TTzxRqA5ljaDwly5dCjIcbEqMERWtdFCi0pXaGkqZZ2ZmNDY2Fkq7sbGho0ePKueskydPhidANSq8me3t7ULrP3g2hB8wGWdnZ6N57V7XPUgPsFEgRUZKEhcXZh1GgQWMW0y6jUULSYdu0HwWABDxHDsBnZWWl5c1Pz8fXsL8/Hzk5mnRBTGF3LaP+/Lly1peXg6WJS3NKOWmhoCFBIA6Pz+v0dFRHTlyRC+//HIg+mQ28Gj6+/vDyMCCYw5QDNrHra+vx/82NjbCLWaxsstKjXZm4AHd3d2Rcydj4XUbAJBkIbxBKd+H97pwxJ4uVQsLC/GdEXN7uTXFYzAnwUUGBwc1MjKijY2NaGrLDo8RwIPDIKF0eAhUXDI+R/3Z2aFv47ECiPruTldppzKT+UAAGyVFypssBIZiPxIDD6xR4GReatFBctmFQPDZyUC1yeXzhWKBh4aGIq5n9z5z5kx4F2tra3rqqafU2dmp119/XW+//bZ6eno0OTkZYQKtw4ijIUyRrqJxB+ckwqgj/nSwCqPx2GOP6c0339TGxoYmJyejMcja2prOnDkT1/JDcgBCb926peeffz4OqiVMQSG8/x+KdevWrQLdmbkAq+DwmqNHj6q3tzeISGQZUB4eQzKi7gNexubmpubm5gJD4aQpOmbRqEaqIfcYbB83hC7mcGxsLLAKMkpklwizoF1DyKLJCyxIaj1w5zntCSCXuYUiDmGOEAd6+Llz5yL9CzALDZx5oAYCYBfDTZqTQ3nBYI4dOxZ1MnspD6xRkBoHhVKR55gCO4pTn2Ht9ff3x25Kfpy+AlhqeAO4nCDNy8vLmpqa0vb2dhxyiqsuKXY0SEzkzkHBJcWiI4YFVJMUbinjYjdhsdIgZWVlRefPn9fQ0JAuXLgQZeNSIxbFxe7q6tLs7GyAayiEpAD1YG5ilDC29ECA7Qfw6GleFjMK7TtmT09PNMXhb7wLvh/CFBB6+BK4/XgOhIzwF0ZHR6PTNsro7e5RRnAFwgrnYTBXIP5UwbqHyfzwPQIg4/1gsCSFZ3f69OkCY5X54Gg493ShgUOAY30QGpOVosHrXssDbRRIvwEO0mQFZpykAG04/XdzczPYc7iL5LYlRVgB2WZmZiaqKWkUCq31jTfeiFw/i9PJRByqArBG7z4Ua2VlJZqgMk6AM+i6tG47fvx4FPiQ5uQoeHZVPBN4/7du3YrDWXGvOfKtra0t0omUWXd3d4eryo7qjVDpQQgvwWsNAFrJgDC/uMF4A7AIwTNIseGue5ETBpq+Dhin0dFRDQ4OSlK0LGNuV1dXozmtN9ylUpF6A3Zk6hc4cJZwBmBwYGBAhw8fDvwHY02/UIw6Bq63tzdYtY8//rieeeYZfeUrXwkcBEO1ubkZpf7cB5sP3pYTyFiX9IXcS3mgjQLo9uDgYDRVJWWGm0kMB7pNTEt6bXu71krdqbwbGxuR5nKmHikq2oyhyFCm4UJ4jhkFBHlfWFiIvoAcZopHAvmpr69PN27c0OTkpFZXV6PzM8AnOwg5fxYjTU6oTyD7QF4fvkJ5ZyfGxoDxW1IsUrww5gAuBLEzrj0AGgsfT4lTtdj5APPIogDOQXIi2yEpGuIAduIJAoDyPfLZZCwkRWqY9YKnRIzO5wEekr3hh40EXAjswesU/DM7O2snd4OreONVvA5JUaDHJoIBxONlXFSH0hZuP+SBZDS6DA0NBXJNW3MeO7lEapA/8BAOHz4cuWHQ+du3b0cjVZQGReSzl5eXtbS0FDl2L9/GBSRm7u7u1sjISBgM8IGnn35ara2t+uY3v6nOzk4NDw/HMezsEDMzM9GO/dChQ3rppZeivTwo9+bmZuzyUi3Whyadc9b58+e1uroauxyA5PT0dBhJDCGNRViU1IPgCXjtP7Tnjo6OaHDKoscoU5fQ0dERwC1djgEEOSjm8ccfj7jbe1PigtMWHePMBoDyg+kQbnF+hqRQXJiCkiLsIVwCa+F9NLllrWD0Ojo6CoVukgqdvPCsrl69GphEOawilembB96UG048KjYBb233XcrDy2h0occBHHW4ApBV6AGAC8xCAUhjETtLbmtrK7r6QDq5deuWBgcHI6UEwci9C1BmDC1MOro5pdQ4QIadBJYf+AYuP0rt1X8nTpxQb29vuMIcsMp9U6fBQoPExMLCeK2urkY/SnZ+whWKgahGBFtwog74gCPlhD2uRCmlqEnxGgg8N0nBNSCvTxou5xxK5w1iykxHOh3xmNQeBpOQCg8ILwIjyndPHA97k/smU0MFLGvHC+5WVlYCM+Bz3nrrrVhTKLukghGDBMY6ZHzMI0YVo7Bfsptj48Yl/b6kUUnbkj6dc/7NlNKgpM9JOq3a0XE/kXNeTLXR/6ak5yTdlPTTOedv7M3wFW40hTMeF+N2s4DZtQCUHGSC9guYBdhGzNvV1RV1/GQFHCEHUAJAhMpLeJBSCrIM7cKh3tIxaXp6Wk8++WQwAUH8iYOPHTumlFJ0eh4YGAj2pqTIraMw1AXgTQwMDIS3A9pPLQPjIuzC5aaBCvEsxmVrayvm20uQUSZJwU0gZOP7An+BVEVJMBRqNw4omxt0cBY8Ezw8lMeBPzwjFNBLxIndSQVyD95El0wH50HiCW5sbMTZFXilDt6658U6wxsh7MBoMQeEKvQDYcNjHvZL7ho+pJTGJI3lnL+RUuqT9LykH5P005IWcs6/klL6lKTDOeefTyk9J+lfqGYUPiDpN3POH7jLNd5VDAOYRC89hBp00GOasVIQRRUk7bbo/LOxUWux7krtPfsxGtCZjxw5EsaDHdXjTRYq3Yjn5ubihGgAJ3awiYmJCGc6Ojo0MDBQoN62trbGSUfUblB0Q28ImovAqANwI5tBHp+FR6rrrbfeig4/LGKMA3Fyb2+vTp8+HTszQB2gXEtL7aBZXGY6QKF47Ow0G2FMKAlnKqIInnbGA5Ea7d0IW7y4S1J4D4QHkgJsJZTDUJD9gabNd0GYQKgCS5TuXzBaMWCQzkh/klql9gYPkQ0Mo7G1tVU4WKhMygMb8lD4u5R7Ez7k2unS0/XHKymlVyUdl/QR1Q6elaTfk/RXkn6+/vzv55q1+UpKaSAVT6m+50IMPDs7G01RmUCQfnbb1tbWiJFBxkGcnWXG7onbioJQw0/LMFJFkiKdBeiF0blx40bEwyDfMAu3traieAuFX19f1/j4eHwmIQYH1oyMjETlJjsXoQG7Doe/kGqUGkAlMSyKuL6+rqmpqTikhBJrCFN4NcwFCxjDRwjCnJYp6L7L467funUrOBF0RkLBtra2YrfElUfANtwl90atrAdJ4aF4mTQZBsZHXQEMSLwUcCk/xwOD6YAmIDKeAuEk9w5WhbGg7oZekVyfylr4DhgFfri3/ZDvCFNIKZ2W9JSkr0oaQdFzztMpJbbp45K8YmOy/tyeGQWARtxe2ppzqlNnZ2cQk4jLUYa2tjaNjY0FAEgjjdXV1fhCYAaCDRw6dChOiurs7NT4+HhUWNJLIOcchB0QaRB2sIP+/n4dP368QIGVFG3ZZmZm4vgzCDJU7V2/fj04+NeuXYv4fW1tTePj49H4g5OfQMDZEXGRJUWNyPj4eChmV1eXZmZmolkIh9BgDFAsDqUllUihEDs1lX94VSgZLfC4B1KonsmAbATwyG7M8+AlpBDxyMhAEZqxQ8P4JGRkXHg83DtzTQhHOEYHLcIHjCwpbvorEnqklGK9cI8cbTgzMxPfB9eAa+I1FeXf+yG7NgoppV5Jfyzp53LOy3cAPpr94x13lFL6hKRP7Pb6dxIWGJkBevizkFjA4A8ppSh0AggE2W1raytw3Nl14C3AHGThtbW16ejRoxH7clox+AQGguPNOC8RbgU0WgAnQCtIOt6cBcIQVF0WHgVJYARzc3NB//Wd3IuJMIgcT89OvbS0FJkD0O9jx45FAxBJUfVIUxS8MK4PVsIcMh9gOg6gooSEE8TWLS0tkerDzXf3HCOHEZAangEKhNGiipHzFPieeT0AIh6KcybKmQG+ZwwQ78fAgNlIjcYtjIO0JpgG2RInk+G9MXeeUt0v2VVKMqXUJunPJf2PnPOv1597TdIzdS9hTNJf5ZyfSCn95/rjPyq/7g6f/67NICmvvr6+UBhIMVh0FKK3t1cnT55Ub29vdNQdHx+PBiktLS2BGxB/g+xDHvHqQnYeGIMYBq8taGlp0fDwcFRrUg4NUQf3Gw9ncnJSvb29Ghoa0sLCghYXF+O0IxYa7rqkeI4xs+McO3asMC5cXUmF+gPOn2D+WKi4s+zqgJm4wGtra7p27VpkLEjr+XtJNTKXMCPZ+cEMcMkJS+AyEHKgTENDQzF2SYWaDt7LjkwMD5DJPAGQcv/0iySMIyxAccEFCEH4HMbB98MaY50wDuYDT8eNHWGag4puJO6hl3BvMIV6NuEzkl7FINTlC5J+StKv1H//qT3/Mymlz6oGNC7tJZ6A4MJyKAr5bpq20maLqjQ/uJMDW4njUC7AqK6uLi0sLOjo0aMBDvlZEuz8uJFwAlg8kFr8/IT5+flgRsKSBJmmtJqWbbAunUgFFsHuTvoLui+76fLycrinAJVgDbirXvPA7obnhaIR17K4JQWvgtQZyosrzGLGi/Cd3L24+jqLAjLCBYwESkRmAPeeXRVD4IVYXlzk4KSna33M3DMl4NwvP1wPjMrJbn7IL/gLz+FhsPvzHvdoPPvBXLAO74fsJvvwYUn/V9JLqqUkJekXVcMVPi/ppKTLkv5hznmhbkT+o6QfUS0l+U9yzl+/yzXuiSnkMA4vLiEVCC3VEXuO8qKJBngARUIAiXgh7Pi48hgDUGMAQxDx+r3FGDY3G4Vbk5OT0eYM0BJXenBwUKOjo7p27VoUvxDHHjt2TBcuXJAknThxIpqmkN+GUEXTEA6uXVxcDMCOjAlKh3Lx28MbGIMOumLcSP16lgJSEAYVlxsEHT4E6WL6T8IHYZfPOcehrm4YMEhwCwADvY8h3wddmgGK8TTw7qBuE+q0trbGuPEQILmVDQp9Ivw5ukvhbbgn4FkQqZHC9vlnvewhfnDPsg9fUnOcQJKebfL6LOmTdx3eHgjxHUVD7AA3b97U7OxsAIYoHrssOwspPCoWSYMBvJFn3tjYiLgcJTly5Ei0AvPdx1Fkdm5Klbn25uamhoeHo3pRUuGxH/vO4gK/8GPv2cVAtgE3yX2DrJOfl1SI191NRxF91yRMYm4Bd8uAnKQA3PCk2N2JxctYD0YFQwWJiHmUFPUUvI9UKPPsFG4+Fy/B3XHCGE/PMjc0SWFjcYo618PTwdvAALkHUfYIMGpeWk0o5eM7CPLA05xdnn766djdaVnGTtzf36/BwUGdrh+jxsEo7CTs5GAOoPz0DUQxIO6srKwEHkCsShEOCwBvg8UD/dVz824wfCdlwfphJvQKJNd//Phx3bx5UxcvXlR7e3uUJSOELF6ByX0CREoqlFrD9qNRilTblQEPwQjctSdUQIkpX5YUc0U4guHAG6DVGnE84CNkMpQcQ4xRQuFp/MJ8u9JiyFBSAFUqZanWJI73jAdYlIOeNMxFydnVuT5g7fr6eoHJybX5nrmG1KjN8L8PvKfwIMnzzz+v97///dG7EdSdxczOCzi3tLQUaUXOerh+/XqU9TodlvZfnqpiMUgK5b9586aGh4fD/Ux1yi1gIpWBLGg+jwXT29sb9RgsSDcU1O/funUrqgOdh8FuClmG5jHs0hiYGzduREERCkV8zE6LQmHscJWhSFPZh4IwF4RtZHtA89nl+ZGKSsDzKBP8Cz7DQUs3Rowr5xxz6t+XFxkBMFI3gdfGHMBOBCMiS4Kh8FDJQWa+K2jc7PzMifMMyJyUvYODsEFLD5mngExMTITLSupxfn5eKaVo2EHPAqmm0PTfn5ycjNx6e3u7RkZGJDWIP+zw7EosDNxuSbEjUoOPa7q5WSt7XllZ0ejoqCTFogRAI9/PwkXW1tbipKeZmZm4Nik0qdEp6ciRI9GCbWFhoVBDgCKhYOyY7MYoEDseDVgwqJCa8KqgJrPT01gFI4lXxGskxTySkiXEwVDi8qOsKDAeBwaB4qSUUhgKp7FTs+ApV0KphYWFgrvPQcNcn9J2qQFUYkDxKDDuhFIQtDDOzTgGzYwBBtTTj3uELTx6ngIC+OfHbREjUmg0OzsbrEUIJK2trTpx4kQcb+7AHI99R6QslucwGBCf2MFgJBJf06MRZSHdB1vSC3t818XboU8ifALAUrpCozwsUn6zE6OUeEfQrAmPnKEH0xMX2rsE0XfBKxQxVp4FkRQ9HlBeb3KC4FUx3xgUwjOpUf7siu7oPd6IGx2MEbUgZBkwpnxvPMbIkAFhDunsBa/BvQb3fJifO+EFrvQ7GY/7JQ+lp3D69OnIK3uxEHnpmzdv6s0331RKte7IkqI1vKQg0nR2dgboRv4ZrIGYnDiYz9jaqvUyYBfh2ixeqWZMRkZGlHOtTRwnYKPoFDu1tNT6PmB8+DxasXt3JDocgaqjTKQV8UQAOp16i8vLvRCLUwyEcUPhAFzxpqQGMMq9orjE/25MoZrj+pOnZ8flWojvrmRppMbJXxy0w3vpG0E8z8leUsN199QoXgrXwsD19fXF58N4xDsCU+H78bFyjyg+9+5ZhmayD7r46HoKly5d0nvf+94CT55DQ48fPx4pOdxp3GfcR0nhGfAZ3rrLmXgoJug/2QQEowJBBnfYMQdaxRG/e5UjHg8urtQ4P4FFSmUm9QS41BgDYmzPhhCqsDNDE2aX5wew1L0mFIs0otcREItjOJy05B4VBgYg1/EAz3BIjW7KkgrGieyPNyRJKcVYvZ8h9wKPAm/BswueJSDU4LuVFO/HAwDfYFx3wgmcc8Bze5x+/K7loTQKUq1ikHbrkI+o3KNisdyoVFK47Zzic+jQodgxAfFQfkmF3Zyd0HdGdz/5G+agVwOS32cn9M497FJgHSxkvALf6XG9fUfHyHjaDwWQVGg8yq7JfHgKlnvzsMl/uAd2bAwLCsvY/L7BOBgD13DuAGFEM3fcGYKOwSwtLWl+fj6M7I0bN8JrcQ6Gu/0YJcbkYK8bg/JcOcfAU58YCf+8gxIi3EkeyvAB+cEf/MGoV9/a2opSVz9qbW5uLqoSb968GSXSGBRvHIqrze5OvE/qcm1tLXLd7DLsxpKCuITCkq0AtHvssccC0GQxetqMe+H15M3JhKCYfKYDehgcFJwFzc7sqD2Gs9zQlv+z2D1MoF1Ye3t7QcH5XCf5IG6oykZUUhguP5WKCsycG+XhDnqSJcB44lU5DsI4AAfLXhDjwbi6F8g9OebgPAs3Cn6fB0HP9CiHDwjpO9z9kZERTU/XGNfUwNOLgQIkqQgm4sJT/MTCQunxJkj1ueuNS4/LSncilBCg0XP8NCeVGruXZwWg0xKLg53gDZBWQ6GcfMT4fYFj2Ih32UG3txvnIWAESPPhJfD5GD1JoSQYT6olncjjOXs+yxXTeQZe8+AeE4aAMMKNQDlud8VFafkbA+Zz7PE/BsHBXoBNAEoHKhGu4yHbATEMd5WH2lOQpA984ANqbW3V0aNH1d3drStXrmh5eTn6Hi4tLWllZUVvvPFGND+VpOHh4XBZURZAQAyCGwVSXSgmIQGkGJ6Dw0CHpJRS1ExQiQmTktQYRoXDSR0dB0XHQ6FBBy4uyojykaL1XXZrayu4B1Jjl0OZXFHwCjAa7JqSYrz0LASIBEj08IFdGFCUQiw/LdoxHsIQQiVqWAhBoCRz334fUqPLNtiG4zZSMeZ3b6WtrS36XnBPzjlA8Bp4L+M6YFJ5CpIKh6+CHZDKI3bHpUTRqXJD2cvFQd4BiNjYQSd2O0A8npMUBU+k91AUxtDX1xfsQne1cfk9fYkBoJ+inxkpqbAbexxP+EJtADuz14s4GYhY3QE2hB2cMQJawiUAEMU4OODo7jxegfM/yB7gaWAwwWdQZMdY8KYwnOWCJkIE9woRjCmPKdXm73JGhPfzfPm7PqjkpLvJQ+8pSNKHP/xhXbx4UePj4xocHIwj3zY3N6PJBi49SD4KQmpOUjTzgGMvNSjCUqNGH2oy6TB4B57D51APim0gzbDoaXHOicyAeF4YtLS0pIWFBQ0PDweQ1tLSEqc9OdGGhi+ESSi45/xJIaJUAJsomne1JlySGsewc3+e8nOOBwpZZjZitMEDMJYYLOaFTAcGGc4DaVRP/TkZCeXkWl60VAYV3Qg4ldtrUdwT83DI05zIQdAvk8pTQL70pS9pdHRUFy9eVH9/f+xs7nqS+kspFXgHTvEll14mK7Ho3ZVmUcPu43/k9bkOCx1X2FOEpO5QAhYhi56W9rjUkoIPQdYBijTViBgUR9JxzZ134PE1uznKR5MZcAOUG5wG0NFTn1CEGatzEjCsGBQ8hLKClhVXUoyb+2XsDmp6/cFO6L9f28MnqZGB4XX+Xv/bv58HWR4JoyBJH/rQh7S8vKzLly9HbwUWLO718vJynCNBOgsQz3cXdiiUC46D1wtQVgstmB2YugbOb4BXQNwNEYdmLMTfi4uL6unpic/CW0HZAcQc1PKUI94Hz9P+HkPH7obHATDKTkwc7pwDDAJeCY1PyRRICgyEe+T/jJVYH7o04YiTf/DAMJ4Aj34aF54LWQ6MrIOVGHcPY8qgJ8ZHajRtcWUv8xH8sXsIZWmWlTio8sgYBXYxDhKh5RoxOLsoh4ji5rMT0bmJL9fdRwAoFh1uslOCSUuxQzrCDsceYVETixPSrK+vh6Hq6OiIUAjlcBxAUrSP87QabjaLmR1/ZWXlHbswSsV4UTjayl+9ejVSgVtbW1EZyH07+UhquO8etztNGCPmoCbz4O/Hg3LiEs859dq/K+7L04hkPZwGj9Ji4KUGDdqxlvL3hWHx57jHMrZw0OWRwBRcnn32Wc3MzEhqgIQpJS0tLcWXTaaAXRXyDIbFU1sYBU/LeYtuFj11FvPz8+EB0OgTg4TyOs8eDwLcwUMQshuMyXdadj5CADgXjIdMifdFlBpMTmL3Zgj/008/rUOHDunb3/52UL4BWzEe7OhSww13jgMG1Cs4HcGHe0HIwWfz+SggCsv/PZ3M68sGwXd9f7+/x8MPT8NiFAhl3JD4e/3vAyQVptBMhoeHtbW1pUuXLgWA5HE0O4S7jfwfApMj9OTKy3Eryk7YIDXOUqCMGpYk1YCSAsTDOKDkxOccSEOVH7gHuyNKjKLBNYC/4Oi/pDh/knv1Rc7ihi3J2Dm8BmPAHEgKb0Qq8gO83sKZi3hcvM53Ze7Jm6ZIijn1+XYAEiFtilJzLScalUHBZl5A2dj4exxsdDlgxuA7kkfOU5Ckj3/84/riF7+o5eXl6Kc4NDSk27dva3Z2ttCiyzsGgerDMYBnQMdglJP3oZxgEp5OIyTAMAFywm/gwFwHNlEqdlwapbLre3YCNiOnM8/NzcUO7sxAXucpVgfuPO2HgYI9ubS0FAxIgE5Jhf4GHgpIKpy+xDhc6Xje2ZYOojbb/T0sccoxpdMO4nr9CFJOS/pzGDHmgQxV2RC4B+F/HzCpPIWdxIk7HDPuXyhVfGVGHfyBnHP0QHBiEKQeQESMgtQopiG9RxXkzMxMGAbiW2J5R8EJHSD7OEhGmEOMzWIlY+I7aXnhel7f/4fiA6oSnsCzKIOvvpN7pkBS3FfZOCCMn3QqCg9TkXFjbMqpSebKeQR8Ht4RqdBmxsDH6s87gOgYRdlw+D3fCWx8UOSR9BQk6ciRI9G4hIIZVzh2sa2trfAmQM/BD2DQ4Umwa9IvgXMcUd6enh4tLS1FGMD1CCFcuT0cAJwE9IONR+qPcARF8dgdhXSFQoHwdLymw9OtGAWpmKJkHOAWhCeepmU3dcXF0/AxEZrU10G8Jucc5316SAbGwHjK7j8GAqNT3tW5vzIr0XEEDxnK3k6Zn4A3594E1zkIulWSylO4k+DqkwLky2dHJtWHh+DxLniBpMLiYPE4NwGFo/oSEpJU28npI+l0ZpTK+Q0O+NEZGSVn3M4AZAG7AqI0kqKhC0YNw8a4UGg8iZwbhCDwBcZZduE9lGD3dKyC8MQ9J4hB4DZ4aSiw939AeI0rM4bDd+0yLtDME3Avx8eOR+nzxBzeKVQ4gAZh1/LIGoXJyUlJtTbpW1tbmpubix0L1/jGjRsJU85AAAASC0lEQVRROs1OLClSlABexOXkwldWVmKxSyqEGevr69HYNOcaX4GzGQDEaCXnO7ukaCgrFTELFMwVCOV0opC3NAcTcTq1KzRegKPsGEI/xg2lwSvBcMEtKPME8LZcIb1OIKUUsT9zSMoXo+DeFwbZcQbe6+Cgg4TckxtzxuMehIOe/M/xkgOOH3zX8sgaBYSFhWL7Dsxu46g+OziLgpjbawSct+C9ALzLEJkBlKSrqysUlHMnGIcrHACa5+8d85CKp0X5Ds4P9ySpcEQahsJxEmcXouAoAFkSL7ryMMONhSugK6hnBnzs7s67a+69IRw/4bVS44BZByPL6UKex6twY8D9eXbDpZyleJgMgiS13P0lD7egrCxqdmoWCa4uuxmKzG5IAxan2EoK1x12Hn0SiIlRFi/DlhqFNyih9x/0wizc+3KOHEVhjHyufz73tLGx8Y6x++6IsZMU43QXvGy03LXHAPJauAW+QztBqGwImENPbzL+cvpPKhoFz9g4zuFhFeLjKV/flb88zw+zPLJAo8vg4GC0EpMaB5J4q24AMlxn6Z07CsaF3cXTmSghuyjkJBYu3gWl28vLy4WTlHNunFA8MDAQykI4gYB3uPvv+AApOe8+xFghCZGuRIkANx29Z4d3TMWNBEbAvSp39/ntYCo9JTEW7u24QnNtZ19yDT4bbILvgvE0yxjsNmvQLPvggOQDEEbsCmi8q6eQUhpPKf1lSunVlNIrKaWfrT//yymlqZTSC/Wf5+w9v5BSupBSei2l9MPv7j72XhYWFt7RDowdBlcVQNBZh54Cc7CORYvX4Ug88SxeAIrGZ6+vr0d1IpiAGxxCC5B7xulZBXfZ8XpY+HAjnPfguz6K5nUTPEaxCBncYPAa2sPxGb5rS430IbgG1wNUda/MDRvfC0bSu05LDQ/CuQ9Ska7smQXHO5oZBDceZe9iJ0/lgBuEXctuzpIckzSWc/5GSqlP0vOSfkzST0i6kXP+96XXf4+kP5L0fknHJP0vSedzzu/sTNF4z4GYTcA9qZFCY6eTFClEbwnGgmEBs+O5q41Cogz8lONYB9Cc5y81QC8wgLa22klYGBO6TPG5XkzF7i8pwNOcax2bPBzhftzboPnL9vZ29GuguIl7xfBQn+ENUri2VzNybUkFEBFvxCnM/l14dsjTk8wxhspDAs/KuOKWwwDf7fm/p1N5zjGOB8Q7cLlnZ0lOS5quP15JKb0q6fgd3vIRSZ/NOd+S9GZK6YJqBuLLuxr2fRRibHYO3NtyEw13yx1EdFfYdyp/ry9YqRF7eyUgu6F/jvcE9GPV8DbK+XLnVYB/wCnwa/N+xsaYqdR0fgNehmcB8DQwQiiTFyzhlQDoYrwwCB7Hewji8+a7O3gNWReKvpgvDxN8DpGdeAr8LoObZfHPfIAMwq7lO8o+pJROS3pKtROnv1+1I+d/UtLXJf3LnPOiagbjK/a2Sd3ZiBwoIReP8nrHYUfuWXReJiwVO/S4IZAUHoIj7Cgw2Qau6zUCnqK8fft24WxI0Hh2SoyHVKTqUh2KwSE7wO7Kzu2GhZZnfJZnTvBamA+IXN3d3YWqTa7F/AHUempQavS2QGF9vh2shPXI+Nvb2wv9GzxE4D0+F5IKhsjDifLrythB+fmHVXadfUgp9Ur6Y0k/l3NelvRbkh6X9F7VPIlf46VN3v6OWUwpfSKl9PWU0h2Pqd9v8R3AU1k85z/+Hl9gO30mi9xTc/56Nzrsok6s8dSd4xI+Tndpy94KYYnv/s3Qd8ZcbjHH2N278DJzxl6mh7uS+mPCICdJ+ZzhYXglpeMfKL0DmOX74L79HsqYQDmMcM+F+Su/5mGWXXkKKaU21QzCH+ac/0SScs4z9v/fkfTn9T8nJY3b209Iulr+zJzzpyV9uv7+A2d6m+0c/rw/9sXG4nRegFQ8OMRBN8IPFJZ4v6xAni7ERS4blLLr60i978zgA85XKIc5fn3GR7hUVhIMBOFJzo3KUo/5GZMzE3kvAKpjBRgDPIFmVHPf9X1Mnhr25/lMBxj5jsuvLX/fzf5+GGU32Yck6TOSXs05/7o9P2Yv+3FJL9cff0HSR1NKHSmlM5LOSfravRvy/oq7uGVlLRsIVxaPacvkGXY4/ueLs+yd+LX8/34N9zowCu6y+w99Fco7r4cufj0HUbkfV3A3eh46ORaD5+OsUEquwS+4Nt6BpwvLgJ5nJdwLKBu0cjap7KlxPz6X7uk8CgagmezGU/h+Sf9Y0ksppRfqz/2ipH+UUnqvaqHBJUn/VJJyzq+klD4v6VuSNiV9Mt8h8/AgSLPF4cCYvwZFLIccvBbFcSX3376Yy6GKA4iAbeAMZVYg4i454KV/jtQgWkkqYBtuWHD3+Xw3ID4H7lU47lIOLyRFxiKlVKjmZFyEUE6Z9nksfy/l7yKlRvaI+/Ix+jyXjcCjahCkiry0K2kGPvnO7M+XX+/va/ZaXo+bX0be3W33w07YYaXGqdIelkiNXgBeD+HAG5/lPAdnW5bdbDccGBa/Hp/pHgTK5kApKcWcc1ClnUru3pmHTVyjmZdQxgIYsxO5fO65F54rh2MPqVRVkvdKfJHydzkG381nSI2d291hB9W85yH/y7lxfFqzzscYDXeXeS+7ovd2QOAweAu2np6eAvvPr4GR8KYxjI3MApwJN3RS4yzN7e1tdXd3R5YHr6Pshbi3UzYCbih9x/dUsXsybkA9bVn+/nYCih81qYzCLsXj0LvJbsINL7hyg8EuW64TcHQdw8Li52+QeFcAJ1G5eOrTW6ixo/vuyrV5Dir2ysqKcs5xyrRjBpKieQzX8nvkTEzug/t1bKE8P+4tOCbitQ3MFfNS9ozuZsx38ub8Mx52qcKHeyA7LRZ/3kFB8vpOAEIJnF3ITshuLBVLez0d12wndQ8CZeAzKaV2A+Lhi4cSxPUYJM7NoB+DZzy4Zrm5CUaDRrh4Qxz44lmKslHwNKJfC0yl2VxzP7y3GQZxNy/hTgbiAZUqfNhPaWYAmj1fjvvLHAIWfBlVbwa08X9+YyDKxCD3OvgcFAo8AmNQDltcSVEyfju5itSqK33OjROfAPo8Deoov4cEPoflrEjZCJT/jxHBayl7CP69NMN+KqmMwruSu6HgnlEog2Lsyp564/9SsVSYz/IMA0pf3u3KyuPutzMDSQfymvKJzY4hMD5e7wbN56DcMzHnRrMV8BC8D0hQbnw8xCl7B27Q3HC4YjvOUa4rKX83Pu/NgOSH0EvYtVRG4V1IswVVVn4eIyx2wD2ouzvxFcppND6vjDcgKArxuZd/lwuPygqFC+/jIGNBxgDykH92s7geT6K/v1+S9Pbbb8e4vfNSGcD1LIAbCldWNySUguOplA2Mp119fnyefe78Wo+iQZAqo/CupezS8pwrdDl96a8pu+3Ndkde7wpUJua40jRzrf2aPJaKPIZy6OKfL72zEIjXOweB66JsZCLKn8/7fedvtqPzPjwVPhtj5c/563fCefy5Zo8fdYMgVUbhnshOC8gXWFmZPEXoO3Oz8MGVyuN7xxFcMQDx+BvasO+mfhK01OA6+HPeU6EMgvpnu2fj97O9XetDwb35/XirtGbGy7MEZZyjPGf87YYY2clgN/uOKqnJI9+O7V7KboGrsvvfbKF6OMFnu+J5daQ3SuF9bhQ83qdFnHsTHm74805pbkYYkt4Zm99pDsphlM+DGwXu9zsBA8vXbzamSvF3J5VRuIfSbNGVdype57HvTjz88ueioH62o9QIASi4ItbHIyh3SyZ/73Rp/gfo6A1Sy7Rgqhv9c3ycvB+ugFdLYkQcZPX7d2NWnqud5lYqelbN5tQ/p9lPJQ2pwoc9lmY7qCuIv86ljMSXQwbvOVAOCQgfHLeAlOQeCEaGzymzCt2bccakhxBlTMVDA8+WOFDqSuthT/nz7qaw5RCrWc1IGZfZrdewEybxKEhlFPZByoYBwM0Lo/iNQnvzFifwNFvUEIXKCuoZAjcsvvN7bQLlzt5/kuvQ0MSzE+W6BK8n4Dpeh+Fj86a1nj70cKSslGUPyqnY/t6dvgP/3Qx72AmEfNSkYjRWUsmjI/emm3MllVTyaEllFCqppJKCVEahkkoqKUhlFCqppJKCVEahkkoqKUhlFCqppJKCVEahkkoqKUhlFCqppJKCVEahkkoqKUhlFCqppJKCVEahkkoqKUhlFCqppJKC7OYsyc6U0tdSSn+TUnolpfRv6s+fSSl9NaX07ZTS51JK7fXnO+p/X6j///Te3kIllVRyL2U3nsItST+Uc/67qh07/yMppQ9K+lVJv5FzPidpUdLH6q//mKTFnPOEpN+ov66SSip5QOSuRiHX5Eb9z7b6T5b0Q5L+a/3535P0Y/XHH6n/rfr/n0277alVSSWV3HfZFaaQUmpNtROnZyX9haQ3JL2dc96sv2RS0vH64+OSrkhS/f9Lko7cy0FXUkkleye7Mgo5562c83slnZD0fklPNntZ/Xczr+AdTVRSSp9IKX09pfT13Q62kkoq2Xv5jrIPOee3Jf2VpA9KGkgp0c7thKSr9ceTksYlqf7/fkkLTT7r0znn79tNJ5hKKqlk/2Q32YejKaWB+uMuSX9P0quS/lLSP6i/7Kck/Wn98Rfqf6v+/y/mg9DzrZJKKtmV7KZx65ik30sptapmRD6fc/7zlNK3JH02pfRvJX1T0mfqr/+MpD9IKV1QzUP46B6Mu5JKKtkjqRq3VlLJoyNV49ZKKqnkO5fKKFRSSSUFqYxCJZVUUpDKKFRSSSUFqYxCJZVUUpDKKFRSSSUFqYxCJZVUUpDKKFRSSSUFOShH0c9JWq3/vt8ypPs/joMwBqkaR1ke9HGc2s2LDgSjUZJSSl8/CMVRB2EcB2EM1Tge3XFU4UMllVRSkMooVFJJJQU5SEbh0/d7AHU5COM4CGOQqnGU5ZEYx4HBFCqppJKDIQfJU6ikkkoOgNx3o5BS+pGU0mv1cyI+tc/XvpRSeiml9AK9IlNKgymlv6ifZ/EXKaXDe3Dd300pzaaUXrbnml431eQ/1OfnxZTS+/Z4HL+cUpqqz8kLKaXn7H+/UB/HaymlH76H4xhPKf1lSunV+tkiP1t/fl/n5A7j2Nc5ue9nreSc79uPpFbVOkOfldQu6W8kfc8+Xv+SpKHSc/9O0qfqjz8l6Vf34Lo/IOl9kl6+23UlPSfpv6vWEPeDkr66x+P4ZUn/qslrv6f+/XRIOlP/3lrv0TjGJL2v/rhP0uv16+3rnNxhHPs6J/X76q0/bpP01fp9fl7SR+vP/7akf1Z//M8l/Xb98Uclfe7dXP9+ewrvl3Qh53wx57wh6bOqnRtxP8XPrfDzLO6Z5Jz/j97ZzHan635E0u/nmnxFtYa5Y3s4jp3kI5I+m3O+lXN+U9IF1b6/ezGO6ZzzN+qPV1TrAXpc+zwndxjHTrInc1K/r/t21sr9NgpxRkRd/PyI/ZAs6X+mlJ5PKX2i/txIznlaqi0SScP7NJadrns/5uhn6m7571r4tC/jqLu+T6m2O963OSmNQ9rnObmfZ63cb6OwqzMi9lC+P+f8Pkk/KumTKaUf2Mdr71b2e45+S9Ljqh0ROC3p1/ZrHCmlXkl/LOnncs7Ld3rpXo6lyTj2fU7yHpy1slu530Yhzoioi58fseeSc75a/z0r6b+pNvkzuKL137P7NJydrruvc5RznqkvyG1Jv6OGO7yn40gptammiH+Yc/6T+tP7PifNxnG/5qR+7Xt21spu5X4bhf8n6VwdVW1XDST5wn5cOKXUk1Lq47Gkvy/pZRXPrfDzLPZadrruFyT9ZB1x/6CkJVzqvZBSbP7jqs0J4/hoHek+I+mcpK/do2sm1Y4GeDXn/Ov2r32dk53Gsd9zku73WSv3ArV9l0jrc6qhvG9I+qV9vO5Z1ZDjv5H0CtdWLRb735K+Xf89uAfX/iPV3NDbqln5j+10XdVcw/9Un5+XJH3fHo/jD+rXebG+2Mbs9b9UH8drkn70Ho7jw6q5uy9KeqH+89x+z8kdxrGvcyLp76h2lsqLqhmgf21r9muqAZr/RVJH/fnO+t8X6v8/+26uXzEaK6mkkoLc7/ChkkoqOWBSGYVKKqmkIJVRqKSSSgpSGYVKKqmkIJVRqKSSSgpSGYVKKqmkIJVRqKSSSgpSGYVKKqmkIP8fd/pE77n9ZCQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for item in batch['input']:\n",
    "    plt.imshow(item.squeeze(0),cmap = 'gray')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using built in Transformations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will now see how we can use the prebuilt transformations available in `medicaltorch` in creation of data loaders. In addition to the normal torchvision dataloaders there are some specific transforms that we can see"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`mt_transforms.ElasticTransform` applies both local distortion and random affine transformation. More about this transformation can be found at \n",
    "Simard, Patrice Y., David Steinkraus, and John C. Platt. [\"Best practices for convolutional neural networks applied to visual document analysis.\" ICDAR. Vol. 3. 2003.](https://www.microsoft.com/en-us/research/publication/best-practices-for-convolutional-neural-networks-applied-to-visual-document-analysis/)\n",
    "\n",
    "A visualization of the transformation can be also seen [here](https://evizero.github.io/Augmentor.jl/generated/mnist_elastic/#footnote-SIMARD2003)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_transform = transforms.Compose([\n",
    "        mt_transforms.Resample(0.25, 0.25),\n",
    "        mt_transforms.ElasticTransform(alpha_range=(40.0, 60.0),\n",
    "                                       sigma_range=(2.5, 4.0),\n",
    "                                       p=0.3),\n",
    "        mt_transforms.ToTensor()]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_dataset = mt_datasets.MRI2DSegmentationDataset(filename_pairs,transform=train_transform)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now lets analyze whether we are able to see the transformation getting applied or not ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataloader = DataLoader(train_dataset, batch_size=2,collate_fn=mt_datasets.mt_collate)\n",
    "batch = next(iter(dataloader))\n",
    "for item in batch['input']:\n",
    "    plt.imshow(item.squeeze(0),cmap = 'gray')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "Spinal Cord Gray Matter Segmentation Using PyTorch.ipynb",
   "provenance": [],
   "version": "0.3.2"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
